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      name:  <unnamed>
       log: Mobilizing for Jihad - TPV (2023)\Dataverse-files\mobilizing-for-jihad-2023-TVP.log
  log type:  text
 opened on:  18 May 2023, 21:23:19

. *************************************************************************

. 
. * Mobilizing for Jihad (2023) Terrorism and Political Violence, do file *

. 
. *************************************************************************

. 
. 
. 
. * Jonathan Fox, Bar-Ilan University

. 
. * Meirav Mishali-Ram, Bar-Ilan University

. 
. * Ariel Zellman, Bar-Ilan University

. 
. * Matthias Basedau, German Institute for Global and Area Studies (GiGA)

. 
. 
. 
. *******************************************

. 
. * Table 1. Pokalova Estimates, Max Values *

. 
. *******************************************

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok setstars(***@0.001, *
> *@0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15576.019  
Iteration 1:   log pseudolikelihood = -15256.855  
Iteration 2:   log pseudolikelihood = -15251.197  
Iteration 3:   log pseudolikelihood = -15251.182  
Iteration 4:   log pseudolikelihood = -15251.182  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.47779  (not concave)
Iteration 1:   log pseudolikelihood = -397.71405  
Iteration 2:   log pseudolikelihood = -389.22937  
Iteration 3:   log pseudolikelihood = -384.95891  
Iteration 4:   log pseudolikelihood = -384.54181  
Iteration 5:   log pseudolikelihood = -384.54107  
Iteration 6:   log pseudolikelihood = -384.54107  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     154.27
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -384.54107               Pseudo R2         =     0.0809

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0254285   .0400897     0.63   0.526    -.0531458    .1040028
         hdi_2011 |    13.6457   2.375344     5.74   0.000     8.990111    18.30129
          max_lxx |  -.0102787   .0643158    -0.16   0.873    -.1363354    .1157779
max_v2x_polyarchy |    2.21306   1.627664     1.36   0.174    -.9771027    5.403224
  max_minority_pc |   .0892438   .0176284     5.06   0.000     .0546928    .1237947
         max_zpop |   1.99e-08   1.06e-08     1.88   0.060    -8.61e-10    4.08e-08
            _cons |  -10.09405   1.309757    -7.71   0.000    -12.66112   -7.526969
------------------+----------------------------------------------------------------
         /lnalpha |   1.579505   .1667259                      1.252728    1.906282
------------------+----------------------------------------------------------------
            alpha |   4.852552   .8090463                      3.499877    6.728025
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_wzsocdisx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) 
> append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16999.349  
Iteration 1:   log pseudolikelihood = -14225.837  
Iteration 2:   log pseudolikelihood = -14172.434  
Iteration 3:   log pseudolikelihood = -14172.122  
Iteration 4:   log pseudolikelihood = -14172.122  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.24727  (not concave)
Iteration 1:   log pseudolikelihood = -395.32592  
Iteration 2:   log pseudolikelihood = -394.16871  
Iteration 3:   log pseudolikelihood = -383.17827  
Iteration 4:   log pseudolikelihood =  -382.4273  
Iteration 5:   log pseudolikelihood =  -382.4239  
Iteration 6:   log pseudolikelihood =  -382.4239  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     246.14
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -382.4239               Pseudo R2         =     0.0859

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
    max_wzsocdisx |   .1479913   .0857501     1.73   0.084    -.0200758    .3160584
         hdi_2011 |   12.70682   2.287287     5.56   0.000     8.223819    17.18982
          max_lxx |  -.0360569   .0620274    -0.58   0.561    -.1576283    .0855145
max_v2x_polyarchy |   1.287253    1.72018     0.75   0.454    -2.084239    4.658745
  max_minority_pc |     .06999   .0197693     3.54   0.000     .0312429    .1087372
         max_zpop |   1.70e-08   1.14e-08     1.48   0.138    -5.46e-09    3.94e-08
            _cons |  -8.777764   1.518809    -5.78   0.000    -11.75458   -5.800953
------------------+----------------------------------------------------------------
         /lnalpha |    1.53476   .1670737                      1.207301    1.862218
------------------+----------------------------------------------------------------
            alpha |    4.64021   .7752572                      3.344446    6.438001
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nest
> ed dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -12916.863  
Iteration 1:   log pseudolikelihood = -12243.906  
Iteration 2:   log pseudolikelihood = -12232.169  
Iteration 3:   log pseudolikelihood = -12231.975  
Iteration 4:   log pseudolikelihood = -12231.975  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.45608  (not concave)
Iteration 1:   log pseudolikelihood = -392.78415  
Iteration 2:   log pseudolikelihood = -376.34599  
Iteration 3:   log pseudolikelihood = -373.56642  
Iteration 4:   log pseudolikelihood = -373.24348  
Iteration 5:   log pseudolikelihood = -373.24228  
Iteration 6:   log pseudolikelihood = -373.24228  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =     212.98
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -373.24228               Pseudo R2         =     0.1079

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
       max_org_01 |    1.93077   .7620965     2.53   0.011     .4370881    3.424451
 max_min_gov_excl |    1.62308   .6803469     2.39   0.017      .289625    2.956536
 max_min_gov_incl |   1.314287   .5568122     2.36   0.018     .2229547    2.405618
         hdi_2011 |   16.62626   2.107909     7.89   0.000     12.49484    20.75769
          max_lxx |  -.0501956   .0604652    -0.83   0.406    -.1687052     .068314
max_v2x_polyarchy |  -.0422224   1.475047    -0.03   0.977    -2.933262    2.848817
  max_minority_pc |   .0577002   .0188599     3.06   0.002     .0207354    .0946649
         max_zpop |   1.08e-08   1.27e-08     0.85   0.396    -1.41e-08    3.58e-08
            _cons |  -12.55888    1.24133   -10.12   0.000    -14.99184   -10.12592
------------------+----------------------------------------------------------------
         /lnalpha |   1.352855   .1397362                      1.078977    1.626733
------------------+----------------------------------------------------------------
            alpha |   3.868455   .5405632                       2.94167    5.087228
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_p
> c max_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11055.265  
Iteration 1:   log pseudolikelihood = -9943.9072  
Iteration 2:   log pseudolikelihood = -9928.8366  
Iteration 3:   log pseudolikelihood =  -9928.761  
Iteration 4:   log pseudolikelihood =  -9928.761  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.02072  (not concave)
Iteration 1:   log pseudolikelihood = -389.11969  
Iteration 2:   log pseudolikelihood = -377.89377  
Iteration 3:   log pseudolikelihood = -371.17466  
Iteration 4:   log pseudolikelihood = -371.04788  
Iteration 5:   log pseudolikelihood = -371.04762  
Iteration 6:   log pseudolikelihood = -371.04762  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(10)     =     277.36
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -371.04762               Pseudo R2         =     0.1131

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0613991   .0555524     1.11   0.269    -.0474816    .1702799
    max_wzsocdisx |   .0968584   .0477112     2.03   0.042     .0033461    .1903707
       max_org_01 |   1.863363   .7830884     2.38   0.017     .3285385    3.398189
 max_min_gov_excl |   1.656685   .6858305     2.42   0.016     .3124818    3.000888
 max_min_gov_incl |   1.157394   .6347778     1.82   0.068    -.0867477    2.401536
         hdi_2011 |   13.25034   2.610147     5.08   0.000     8.134543    18.36613
          max_lxx |  -.0971311   .0667737    -1.45   0.146    -.2280051    .0337429
max_v2x_polyarchy |    1.09328   1.347269     0.81   0.417    -1.547319    3.733878
  max_minority_pc |   .0401527   .0190589     2.11   0.035     .0027979    .0775074
         max_zpop |   1.03e-08   1.26e-08     0.82   0.414    -1.44e-08    3.50e-08
            _cons |  -10.81345   1.741572    -6.21   0.000    -14.22687   -7.400029
------------------+----------------------------------------------------------------
         /lnalpha |   1.299949   .1482506                      1.009383    1.590514
------------------+----------------------------------------------------------------
            alpha |   3.669108   .5439476                      2.743906    4.906272
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) a
> ppend

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16013.276  
Iteration 1:   log pseudolikelihood = -15825.803  
Iteration 2:   log pseudolikelihood = -15823.783  
Iteration 3:   log pseudolikelihood = -15823.781  
Iteration 4:   log pseudolikelihood = -15823.781  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.70317  (not concave)
Iteration 1:   log pseudolikelihood = -398.25355  
Iteration 2:   log pseudolikelihood = -387.24012  
Iteration 3:   log pseudolikelihood = -381.72789  
Iteration 4:   log pseudolikelihood =  -381.4255  
Iteration 5:   log pseudolikelihood = -381.42449  
Iteration 6:   log pseudolikelihood = -381.42449  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     151.74
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -381.42449               Pseudo R2         =     0.0883

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.435583   .5409589     2.65   0.008     .3753228    2.495843
         hdi_2011 |   14.21577   2.676148     5.31   0.000     8.970614    19.46092
          max_lxx |   .0765762   .0682509     1.12   0.262    -.0571932    .2103455
max_v2x_polyarchy |   .5509515   1.853687     0.30   0.766    -3.082208    4.184111
  max_minority_pc |   .0711061   .0203196     3.50   0.000     .0312803    .1109318
         max_zpop |   1.70e-08   1.03e-08     1.65   0.099    -3.20e-09    3.73e-08
            _cons |  -10.25035   1.314623    -7.80   0.000    -12.82696   -7.673736
------------------+----------------------------------------------------------------
         /lnalpha |   1.518781   .1641647                      1.197024    1.840538
------------------+----------------------------------------------------------------
            alpha |   4.566656   .7496838                      3.310252    6.299927
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) ap
> pend

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11516.527  
Iteration 1:   log pseudolikelihood = -11401.389  
Iteration 2:   log pseudolikelihood = -11401.229  
Iteration 3:   log pseudolikelihood = -11401.229  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.96836  (not concave)
Iteration 1:   log pseudolikelihood = -399.56473  
Iteration 2:   log pseudolikelihood = -398.15509  
Iteration 3:   log pseudolikelihood = -384.66091  
Iteration 4:   log pseudolikelihood = -383.28447  
Iteration 5:   log pseudolikelihood = -383.23118  
Iteration 6:   log pseudolikelihood = -383.23099  
Iteration 7:   log pseudolikelihood = -383.23099  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     141.04
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -383.23099               Pseudo R2         =     0.0840

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
      max_v_event |   .9543612   .7064452     1.35   0.177    -.4302459    2.338968
         hdi_2011 |    13.7705   2.492695     5.52   0.000     8.884907    18.65609
          max_lxx |  -.0306021   .0705144    -0.43   0.664    -.1688078    .1076036
max_v2x_polyarchy |   1.675543   1.758094     0.95   0.341    -1.770258    5.121344
  max_minority_pc |   .0799069   .0231131     3.46   0.001      .034606    .1252078
         max_zpop |   1.53e-08   1.34e-08     1.14   0.255    -1.10e-08    4.16e-08
            _cons |  -9.659668   1.393746    -6.93   0.000    -12.39136   -6.927976
------------------+----------------------------------------------------------------
         /lnalpha |   1.542907    .157885                      1.233458    1.852356
------------------+----------------------------------------------------------------
            alpha |    4.67817   .7386131                      3.433081    6.374821
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(
> ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood =  -11663.61  
Iteration 1:   log pseudolikelihood = -11371.584  
Iteration 2:   log pseudolikelihood = -11368.703  
Iteration 3:   log pseudolikelihood = -11368.701  
Iteration 4:   log pseudolikelihood = -11368.701  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood =  -408.7934  (not concave)
Iteration 1:   log pseudolikelihood = -397.30113  
Iteration 2:   log pseudolikelihood = -387.30955  
Iteration 3:   log pseudolikelihood = -381.61296  
Iteration 4:   log pseudolikelihood = -380.36534  
Iteration 5:   log pseudolikelihood = -380.32879  
Iteration 6:   log pseudolikelihood = -380.32872  
Iteration 7:   log pseudolikelihood = -380.32872  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     136.04
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -380.32872               Pseudo R2         =     0.0909

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.310715   .5647276     2.32   0.020     .2038694    2.417561
      max_v_event |   .8567394   .6406964     1.34   0.181    -.3990024    2.112481
         hdi_2011 |   14.12057   3.002991     4.70   0.000     8.234812    20.00632
          max_lxx |     .03508   .0820944     0.43   0.669     -.125822     .195982
max_v2x_polyarchy |    .455186   2.011796     0.23   0.821    -3.487861    4.398234
  max_minority_pc |   .0564731   .0258112     2.19   0.029      .005884    .1070621
         max_zpop |   1.35e-08   1.23e-08     1.09   0.275    -1.07e-08    3.76e-08
            _cons |   -9.80694   1.356562    -7.23   0.000    -12.46575   -7.148128
------------------+----------------------------------------------------------------
         /lnalpha |   1.486079   .1571433                      1.178083    1.794074
------------------+----------------------------------------------------------------
            alpha |    4.41973   .6945312                      3.248143    6.013903
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v2x
> _polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) title(Table 1. Who Sends Foreign Fighters? Negative Binomial R
> egressions, Pokalova Estimates, Max Values) keep(max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event
>  hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10705.075  
Iteration 1:   log pseudolikelihood = -8804.9951  
Iteration 2:   log pseudolikelihood = -8495.8103  
Iteration 3:   log pseudolikelihood = -8484.8647  
Iteration 4:   log pseudolikelihood = -8484.7087  
Iteration 5:   log pseudolikelihood = -8484.7085  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.39604  (not concave)
Iteration 1:   log pseudolikelihood = -391.57212  (not concave)
Iteration 2:   log pseudolikelihood = -382.17043  
Iteration 3:   log pseudolikelihood = -370.19731  
Iteration 4:   log pseudolikelihood =   -368.198  
Iteration 5:   log pseudolikelihood = -368.00766  
Iteration 6:   log pseudolikelihood = -368.00696  
Iteration 7:   log pseudolikelihood = -368.00696  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(12)     =     337.90
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -368.00696               Pseudo R2         =     0.1204

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0833367   .0569927     1.46   0.144     -.028367    .1950403
    max_wzsocdisx |   .0193073   .0522225     0.37   0.712    -.0830468    .1216615
       max_org_01 |   2.420711   .8206324     2.95   0.003     .8123007    4.029121
 max_min_gov_excl |   1.580738   .5646391     2.80   0.005     .4740655     2.68741
 max_min_gov_incl |   1.139863   .6535663     1.74   0.081    -.1411034    2.420829
     max_nv_event |   1.233852   .4546681     2.71   0.007      .342719    2.124985
      max_v_event |   .1312507   .4000383     0.33   0.743      -.65281    .9153113
         hdi_2011 |   14.26003   2.818245     5.06   0.000     8.736366    19.78368
          max_lxx |  -.0767243   .0783829    -0.98   0.328    -.2303521    .0769034
max_v2x_polyarchy |    .248269   1.571809     0.16   0.874     -2.83242    3.328958
  max_minority_pc |   .0291248   .0208425     1.40   0.162    -.0117256    .0699753
         max_zpop |   9.16e-09   1.23e-08     0.74   0.457    -1.50e-08    3.33e-08
            _cons |  -11.77861   1.772996    -6.64   0.000    -15.25361   -8.303598
------------------+----------------------------------------------------------------
         /lnalpha |   1.244761   .1565779                      .9378737    1.551648
------------------+----------------------------------------------------------------
            alpha |   3.472104   .5436549                      2.554544    4.719241
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. ****************************************************************

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. * Table A2. Pokalova Estimates, Max Values, Excluding Muslim % *

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. ****************************************************************

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. asdoc nbreg ffpokalova_ max_mmxx hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok setstars(***@0.001, **@0.01, *@0.05) 
> fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16593.015  
Iteration 1:   log pseudolikelihood =  -16154.42  
Iteration 2:   log pseudolikelihood = -16145.339  
Iteration 3:   log pseudolikelihood = -16145.314  
Iteration 4:   log pseudolikelihood = -16145.314  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.94752  (not concave)
Iteration 1:   log pseudolikelihood = -400.46265  
Iteration 2:   log pseudolikelihood = -399.80376  
Iteration 3:   log pseudolikelihood = -392.43468  
Iteration 4:   log pseudolikelihood = -392.31186  
Iteration 5:   log pseudolikelihood = -392.31149  
Iteration 6:   log pseudolikelihood = -392.31149  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(5)      =     169.59
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -392.31149               Pseudo R2         =     0.0623

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0991923   .0918214     1.08   0.280    -.0807743     .279159
         hdi_2011 |   13.12112   3.657551     3.59   0.000     5.952453    20.28979
          max_lxx |   -.001922   .0648397    -0.03   0.976    -.1290055    .1251614
max_v2x_polyarchy |   .0851105   2.486265     0.03   0.973    -4.787879      4.9581
         max_zpop |   9.70e-09   9.48e-09     1.02   0.306    -8.88e-09    2.83e-08
            _cons |  -7.337085   1.005597    -7.30   0.000    -9.308018   -5.366152
------------------+----------------------------------------------------------------
         /lnalpha |   1.735971   .1311298                      1.478961    1.992981
------------------+----------------------------------------------------------------
            alpha |   5.674434   .7440876                      4.388384     7.33737
-----------------------------------------------------------------------------------
  tzok
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. asdoc nbreg ffpokalova_ max_wzsocdisx hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16466.095  
Iteration 1:   log pseudolikelihood = -14255.047  
Iteration 2:   log pseudolikelihood = -14230.784  
Iteration 3:   log pseudolikelihood = -14230.724  
Iteration 4:   log pseudolikelihood = -14230.724  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood =  -408.3203  (not concave)
Iteration 1:   log pseudolikelihood =  -395.6223  
Iteration 2:   log pseudolikelihood = -389.77456  
Iteration 3:   log pseudolikelihood = -386.76031  
Iteration 4:   log pseudolikelihood =  -386.7022  
Iteration 5:   log pseudolikelihood = -386.70212  
Iteration 6:   log pseudolikelihood = -386.70212  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(5)      =     182.91
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -386.70212               Pseudo R2         =     0.0757

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
    max_wzsocdisx |   .2069542   .0718153     2.88   0.004     .0661987    .3477096
         hdi_2011 |   12.16453   2.812247     4.33   0.000     6.652625    17.67643
          max_lxx |  -.0479392   .0581655    -0.82   0.410    -.1619415    .0660631
max_v2x_polyarchy |  -.4767097   2.077851    -0.23   0.819    -4.549223    3.595804
         max_zpop |   1.13e-08   1.08e-08     1.05   0.295    -9.87e-09    3.25e-08
            _cons |  -6.466231   1.010126    -6.40   0.000    -8.446041   -4.486421
------------------+----------------------------------------------------------------
         /lnalpha |   1.616041    .149187                       1.32364    1.908443
------------------+----------------------------------------------------------------
            alpha |   5.033127   .7508771                      3.757073    6.742579
-----------------------------------------------------------------------------------
  tzok
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. asdoc nbreg ffpokalova_ max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok s
> tat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -12774.745  
Iteration 1:   log pseudolikelihood =  -12266.51  
Iteration 2:   log pseudolikelihood = -12253.226  
Iteration 3:   log pseudolikelihood = -12252.993  
Iteration 4:   log pseudolikelihood = -12252.992  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.42513  (not concave)
Iteration 1:   log pseudolikelihood = -392.75652  
Iteration 2:   log pseudolikelihood = -379.09683  
Iteration 3:   log pseudolikelihood =  -376.8718  
Iteration 4:   log pseudolikelihood =  -376.6577  
Iteration 5:   log pseudolikelihood = -376.65409  
Iteration 6:   log pseudolikelihood = -376.65409  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     168.84
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -376.65409               Pseudo R2         =     0.0997

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
       max_org_01 |   2.443171   .7080326     3.45   0.001     1.055453    3.830889
 max_min_gov_excl |   1.412199   .6556198     2.15   0.031     .1272081     2.69719
 max_min_gov_incl |   1.774166   .6271644     2.83   0.005     .5449468    3.003386
         hdi_2011 |   16.69703   2.281515     7.32   0.000     12.22534    21.16872
          max_lxx |   .0001021   .0617905     0.00   0.999    -.1210051    .1212093
max_v2x_polyarchy |  -1.710738   1.312225    -1.30   0.192    -4.282651    .8611754
         max_zpop |   8.08e-09   1.18e-08     0.68   0.494    -1.51e-08    3.13e-08
            _cons |  -11.85914   1.380831    -8.59   0.000    -14.56552   -9.152765
------------------+----------------------------------------------------------------
         /lnalpha |   1.421687    .137543                      1.152107    1.691266
------------------+----------------------------------------------------------------
            alpha |   4.144104   .5699923                      3.164855    5.426345
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robu
> st nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10858.441  
Iteration 1:   log pseudolikelihood = -9955.1355  
Iteration 2:   log pseudolikelihood =  -9948.995  
Iteration 3:   log pseudolikelihood = -9948.9782  
Iteration 4:   log pseudolikelihood = -9948.9782  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -406.98865  (not concave)
Iteration 1:   log pseudolikelihood = -388.34857  
Iteration 2:   log pseudolikelihood = -377.67904  
Iteration 3:   log pseudolikelihood = -372.69264  
Iteration 4:   log pseudolikelihood = -372.58378  
Iteration 5:   log pseudolikelihood = -372.58331  
Iteration 6:   log pseudolikelihood = -372.58331  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(9)      =     241.71
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -372.58331               Pseudo R2         =     0.1094

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0686176   .0583012     1.18   0.239    -.0456507     .182886
    max_wzsocdisx |   .1284453   .0395076     3.25   0.001     .0510119    .2058787
       max_org_01 |   2.014345   .7808432     2.58   0.010     .4839207     3.54477
 max_min_gov_excl |   1.674433   .6389435     2.62   0.009     .4221265    2.926739
 max_min_gov_incl |   1.345701   .6660781     2.02   0.043     .0402124     2.65119
         hdi_2011 |   12.06752    2.68218     4.50   0.000      6.81054    17.32449
          max_lxx |  -.0856789   .0629025    -1.36   0.173    -.2089656    .0376078
max_v2x_polyarchy |   .5446037   1.530167     0.36   0.722    -2.454469    3.543677
         max_zpop |   8.70e-09   1.19e-08     0.73   0.463    -1.46e-08    3.20e-08
            _cons |  -9.618508   1.548934    -6.21   0.000    -12.65436   -6.582654
------------------+----------------------------------------------------------------
         /lnalpha |   1.325784   .1483445                      1.035035    1.616534
------------------+----------------------------------------------------------------
            alpha |   3.765138   .5585374                      2.815203    5.035608
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ max_nv_event hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16567.633  
Iteration 1:   log pseudolikelihood = -16320.052  
Iteration 2:   log pseudolikelihood = -16316.834  
Iteration 3:   log pseudolikelihood = -16316.828  
Iteration 4:   log pseudolikelihood = -16316.828  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -409.01276  (not concave)
Iteration 1:   log pseudolikelihood = -399.80195  
Iteration 2:   log pseudolikelihood = -388.66588  
Iteration 3:   log pseudolikelihood = -385.69933  
Iteration 4:   log pseudolikelihood = -385.51088  
Iteration 5:   log pseudolikelihood = -385.51014  
Iteration 6:   log pseudolikelihood = -385.51014  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(5)      =     143.13
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -385.51014               Pseudo R2         =     0.0785

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.992386    .472703     4.21   0.000     1.065905    2.918867
         hdi_2011 |   14.39376   3.325442     4.33   0.000     7.876011     20.9115
          max_lxx |   .1045016   .0817827     1.28   0.201    -.0557896    .2647928
max_v2x_polyarchy |  -1.570827   2.156464    -0.73   0.466    -5.797419    2.655764
         max_zpop |   1.19e-08   9.93e-09     1.20   0.229    -7.52e-09    3.14e-08
            _cons |  -8.525761   1.045422    -8.16   0.000    -10.57475   -6.476771
------------------+----------------------------------------------------------------
         /lnalpha |   1.596921   .1447101                      1.313294    1.880548
------------------+----------------------------------------------------------------
            alpha |   4.937806   .7145504                      3.718403    6.557095
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11433.609  
Iteration 1:   log pseudolikelihood = -11402.037  
Iteration 2:   log pseudolikelihood = -11401.955  
Iteration 3:   log pseudolikelihood = -11401.955  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.99815  (not concave)
Iteration 1:   log pseudolikelihood = -399.98106  
Iteration 2:   log pseudolikelihood = -392.11684  
Iteration 3:   log pseudolikelihood = -390.18745  
Iteration 4:   log pseudolikelihood = -390.08596  
Iteration 5:   log pseudolikelihood = -390.08311  
Iteration 6:   log pseudolikelihood = -390.08311  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(5)      =     160.46
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -390.08311               Pseudo R2         =     0.0676

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
      max_v_event |    1.23125   .5408658     2.28   0.023     .1711729    2.291328
         hdi_2011 |   15.06948   3.055172     4.93   0.000     9.081448     21.0575
          max_lxx |    .006388   .0888725     0.07   0.943    -.1677989     .180575
max_v2x_polyarchy |  -1.436628   1.996503    -0.72   0.472    -5.349702    2.476445
         max_zpop |   4.92e-09   8.39e-09     0.59   0.557    -1.15e-08    2.14e-08
            _cons |  -7.718524   1.015152    -7.60   0.000    -9.708185   -5.728862
------------------+----------------------------------------------------------------
         /lnalpha |    1.68708   .1543272                      1.384604    1.989555
------------------+----------------------------------------------------------------
            alpha |   5.403676   .8339342                      3.993243    7.312281
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ max_nv_event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_zpop, robust nested dec(3) tzok stat(ll chi2 p) appen
> d

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11433.965  
Iteration 1:   log pseudolikelihood =  -11370.84  
Iteration 2:   log pseudolikelihood = -11370.755  
Iteration 3:   log pseudolikelihood = -11370.755  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.83901  (not concave)
Iteration 1:   log pseudolikelihood = -397.43637  
Iteration 2:   log pseudolikelihood = -386.57606  
Iteration 3:   log pseudolikelihood =  -383.2761  
Iteration 4:   log pseudolikelihood = -382.83379  
Iteration 5:   log pseudolikelihood = -382.80708  
Iteration 6:   log pseudolikelihood = -382.80706  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     149.14
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -382.80706               Pseudo R2         =     0.0850

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.792833   .5518284     3.25   0.001     .7112688    2.874396
      max_v_event |    1.17993    .526489     2.24   0.025     .1480304    2.211829
         hdi_2011 |   14.44033   3.792721     3.81   0.000     7.006732    21.87393
          max_lxx |   .0594248   .1091497     0.54   0.586    -.1545047    .2733543
max_v2x_polyarchy |  -1.223054   2.073127    -0.59   0.555    -5.286309    2.840201
         max_zpop |   8.18e-09   1.08e-08     0.76   0.449    -1.30e-08    2.94e-08
            _cons |  -8.658423   1.031315    -8.40   0.000    -10.67976   -6.637083
------------------+----------------------------------------------------------------
         /lnalpha |   1.540433     .14364                      1.258904    1.821962
------------------+----------------------------------------------------------------
            alpha |   4.666612   .6703121                       3.52156    6.183983
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. 
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. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v2x
> _polyarchy max_zpop, robust nested dec(3) tzok stat(ll chi2 p) title(Table A2. Negative Binomial Regressions, Pokalova Estimates, Max Values,
>  Excluding Muslim %) keep(max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v
> 2x_polyarchy max_zpop _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -9249.0349  
Iteration 1:   log pseudolikelihood = -8513.9084  
Iteration 2:   log pseudolikelihood = -8497.6825  
Iteration 3:   log pseudolikelihood = -8497.4588  
Iteration 4:   log pseudolikelihood = -8497.4587  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.37939  (not concave)
Iteration 1:   log pseudolikelihood =  -391.7118  (not concave)
Iteration 2:   log pseudolikelihood =  -382.9474  
Iteration 3:   log pseudolikelihood = -371.26374  
Iteration 4:   log pseudolikelihood = -368.85474  
Iteration 5:   log pseudolikelihood = -368.71281  
Iteration 6:   log pseudolikelihood = -368.71214  
Iteration 7:   log pseudolikelihood = -368.71214  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(11)     =     295.90
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -368.71214               Pseudo R2         =     0.1187

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0808861   .0592672     1.36   0.172    -.0352756    .1970478
    max_wzsocdisx |   .0364863   .0488533     0.75   0.455    -.0592643    .1322369
       max_org_01 |   2.519186   .7712247     3.27   0.001     1.007613    4.030758
 max_min_gov_excl |   1.518609   .5619344     2.70   0.007      .417238     2.61998
 max_min_gov_incl |   1.248624   .6940289     1.80   0.072    -.1116481    2.608895
     max_nv_event |   1.311602   .4409858     2.97   0.003     .4472856    2.175918
      max_v_event |   .2988655   .4128895     0.72   0.469    -.5103831    1.108114
         hdi_2011 |   13.66273   2.832596     4.82   0.000     8.110949    19.21452
          max_lxx |  -.0638488     .07833    -0.82   0.415    -.2173729    .0896752
max_v2x_polyarchy |  -.2809384    1.64778    -0.17   0.865    -3.510528    2.948651
         max_zpop |   7.95e-09   1.16e-08     0.68   0.495    -1.49e-08    3.08e-08
            _cons |  -11.04574   1.495801    -7.38   0.000    -13.97745    -8.11402
------------------+----------------------------------------------------------------
         /lnalpha |    1.25918   .1578723                      .9497562    1.568604
------------------+----------------------------------------------------------------
            alpha |   3.522533   .5561104                      2.585079    4.799944
-----------------------------------------------------------------------------------
  tzok
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. *********************************************

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. * Table A3. Pokalova Estimates, Mean Values *

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. *********************************************

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. 
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. asdoc nbreg ffpokalova_ mean_mmxx hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok setstars(***@0.0
> 01, **@0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15559.059  
Iteration 1:   log pseudolikelihood = -15223.208  
Iteration 2:   log pseudolikelihood =  -15216.73  
Iteration 3:   log pseudolikelihood =  -15216.71  
Iteration 4:   log pseudolikelihood =  -15216.71  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.46659  (not concave)
Iteration 1:   log pseudolikelihood = -397.73994  
Iteration 2:   log pseudolikelihood = -389.27183  
Iteration 3:   log pseudolikelihood = -385.02418  
Iteration 4:   log pseudolikelihood =  -384.6406  
Iteration 5:   log pseudolikelihood = -384.64003  
Iteration 6:   log pseudolikelihood = -384.64003  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     154.31
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -384.64003               Pseudo R2         =     0.0806

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |   .0155405   .0386296     0.40   0.687    -.0601721    .0912531
          hdi_2011 |   13.49212   2.419163     5.58   0.000     8.750652    18.23359
          mean_lxx |   .0077672   .0635271     0.12   0.903    -.1167436     .132278
mean_v2x_polyarchy |   2.157107   1.537493     1.40   0.161    -.8563232    5.170537
  mean_minority_pc |   .0904663   .0175429     5.16   0.000     .0560828    .1248497
         mean_zpop |   1.97e-08   1.05e-08     1.88   0.060    -8.12e-10    4.02e-08
             _cons |   -9.93164   1.300355    -7.64   0.000    -12.48029   -7.382991
-------------------+----------------------------------------------------------------
          /lnalpha |   1.582687    .161954                      1.265263    1.900111
-------------------+----------------------------------------------------------------
             alpha |   4.868019   .7883949                      3.544025    6.686636
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ mean_wzsocdisx hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi
> 2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -17804.752  
Iteration 1:   log pseudolikelihood = -14291.596  
Iteration 2:   log pseudolikelihood = -14194.247  
Iteration 3:   log pseudolikelihood = -14193.778  
Iteration 4:   log pseudolikelihood = -14193.778  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.30205  (not concave)
Iteration 1:   log pseudolikelihood = -395.64134  
Iteration 2:   log pseudolikelihood = -392.48028  
Iteration 3:   log pseudolikelihood = -383.70851  
Iteration 4:   log pseudolikelihood = -383.23639  
Iteration 5:   log pseudolikelihood = -383.23535  
Iteration 6:   log pseudolikelihood = -383.23535  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     246.51
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -383.23535               Pseudo R2         =     0.0840

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    mean_wzsocdisx |   .1279839   .0844764     1.52   0.130    -.0375867    .2935546
          hdi_2011 |   12.81899   2.291299     5.59   0.000      8.32813    17.30986
          mean_lxx |  -.0199712   .0646593    -0.31   0.757    -.1467012    .1067587
mean_v2x_polyarchy |   1.433168   1.688419     0.85   0.396    -1.876073    4.742409
  mean_minority_pc |   .0731206   .0213041     3.43   0.001     .0313652    .1148759
         mean_zpop |   1.75e-08   1.12e-08     1.57   0.117    -4.39e-09    3.94e-08
             _cons |   -8.87976   1.468459    -6.05   0.000    -11.75789   -6.001634
-------------------+----------------------------------------------------------------
          /lnalpha |   1.553208    .160957                      1.237738    1.868678
-------------------+----------------------------------------------------------------
             alpha |   4.726608   .7607808                      3.447805    6.479723
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ mean_org_01 mean_min_gov_excl mean_min_gov_incl hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robu
> st nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13428.518  
Iteration 1:   log pseudolikelihood = -13010.337  
Iteration 2:   log pseudolikelihood = -12992.312  
Iteration 3:   log pseudolikelihood = -12991.883  
Iteration 4:   log pseudolikelihood = -12991.883  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.37231  (not concave)
Iteration 1:   log pseudolikelihood = -392.49994  
Iteration 2:   log pseudolikelihood = -376.16489  
Iteration 3:   log pseudolikelihood = -373.66114  
Iteration 4:   log pseudolikelihood = -373.51156  
Iteration 5:   log pseudolikelihood = -373.51109  
Iteration 6:   log pseudolikelihood = -373.51109  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =     202.31
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -373.51109               Pseudo R2         =     0.1072

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       mean_org_01 |   2.050055   .7825884     2.62   0.009     .5162098      3.5839
 mean_min_gov_excl |   1.763985   .7863665     2.24   0.025     .2227347    3.305235
 mean_min_gov_incl |   1.427987   .6772334     2.11   0.035     .1006335     2.75534
          hdi_2011 |   16.12872   2.330173     6.92   0.000     11.56166    20.69577
          mean_lxx |  -.0410763   .0642805    -0.64   0.523    -.1670637    .0849112
mean_v2x_polyarchy |   .3430048   1.471387     0.23   0.816    -2.540861    3.226871
  mean_minority_pc |   .0585868   .0204476     2.87   0.004     .0185102    .0986633
         mean_zpop |   9.55e-09   1.28e-08     0.75   0.454    -1.54e-08    3.45e-08
             _cons |  -12.44217   1.271001    -9.79   0.000    -14.93328    -9.95105
-------------------+----------------------------------------------------------------
          /lnalpha |   1.350769   .1379813                      1.080331    1.621208
-------------------+----------------------------------------------------------------
             alpha |   3.860394   .5326621                      2.945655    5.059196
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. 
. 
. asdoc nbreg ffpokalova_ mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl hdi_2011 mean_lxx mean_v2x_polyarchy mean_mi
> nority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13393.756  
Iteration 1:   log pseudolikelihood = -11093.278  
Iteration 2:   log pseudolikelihood = -11069.314  
Iteration 3:   log pseudolikelihood = -11069.205  
Iteration 4:   log pseudolikelihood = -11069.205  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -406.93361  (not concave)
Iteration 1:   log pseudolikelihood = -386.40264  
Iteration 2:   log pseudolikelihood = -379.30323  
Iteration 3:   log pseudolikelihood = -371.36152  
Iteration 4:   log pseudolikelihood = -371.16722  
Iteration 5:   log pseudolikelihood = -371.16676  
Iteration 6:   log pseudolikelihood = -371.16676  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(10)     =     311.60
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -371.16676               Pseudo R2         =     0.1128

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |   .0716415   .0540766     1.32   0.185    -.0343465    .1776296
    mean_wzsocdisx |    .097639   .0559305     1.75   0.081    -.0119827    .2072608
       mean_org_01 |   2.166748   .8140771     2.66   0.008     .5711866     3.76231
 mean_min_gov_excl |   1.920814   .8176043     2.35   0.019     .3183386    3.523289
 mean_min_gov_incl |   1.095218   .7614793     1.44   0.150    -.3972544     2.58769
          hdi_2011 |   12.47242   2.673343     4.67   0.000     7.232764    17.71208
          mean_lxx |  -.0987057   .0747123    -1.32   0.186    -.2451391    .0477277
mean_v2x_polyarchy |   1.687207   1.246118     1.35   0.176    -.7551382    4.129553
  mean_minority_pc |    .042512   .0204916     2.07   0.038     .0023492    .0826747
         mean_zpop |   7.75e-09   1.27e-08     0.61   0.541    -1.71e-08    3.26e-08
             _cons |  -10.57935   1.709961    -6.19   0.000    -13.93081   -7.227892
-------------------+----------------------------------------------------------------
          /lnalpha |   1.298929   .1456467                      1.013467    1.584392
-------------------+----------------------------------------------------------------
             alpha |    3.66537    .533849                      2.755136    4.876323
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ mean_nv_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2
>  p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16242.472  
Iteration 1:   log pseudolikelihood = -16057.869  
Iteration 2:   log pseudolikelihood = -16057.299  
Iteration 3:   log pseudolikelihood = -16057.299  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.89452  (not concave)
Iteration 1:   log pseudolikelihood = -399.33754  
Iteration 2:   log pseudolikelihood = -387.52338  
Iteration 3:   log pseudolikelihood = -383.28645  
Iteration 4:   log pseudolikelihood = -382.90262  
Iteration 5:   log pseudolikelihood = -382.90166  
Iteration 6:   log pseudolikelihood = -382.90166  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     156.71
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -382.90166               Pseudo R2         =     0.0848

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     mean_nv_event |   4.218067   2.166294     1.95   0.052     -.027791    8.463926
          hdi_2011 |   13.14259   2.509938     5.24   0.000     8.223196    18.06197
          mean_lxx |   .0705258   .0692153     1.02   0.308    -.0651337    .2061853
mean_v2x_polyarchy |   1.180562   1.572073     0.75   0.453    -1.900645    4.261769
  mean_minority_pc |    .077104   .0187469     4.11   0.000     .0403607    .1138473
         mean_zpop |   1.86e-08   1.01e-08     1.84   0.066    -1.26e-09    3.84e-08
             _cons |  -9.692023   1.243637    -7.79   0.000    -12.12951   -7.254539
-------------------+----------------------------------------------------------------
          /lnalpha |    1.55008   .1623398                        1.2319     1.86826
-------------------+----------------------------------------------------------------
             alpha |   4.711846   .7649201                      3.427734    6.477016
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
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. asdoc nbreg ffpokalova_ mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 
> p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16562.496  
Iteration 1:   log pseudolikelihood = -13145.085  
Iteration 2:   log pseudolikelihood = -12633.404  
Iteration 3:   log pseudolikelihood = -12627.973  
Iteration 4:   log pseudolikelihood = -12627.969  
Iteration 5:   log pseudolikelihood = -12627.969  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood =  -408.4949  (not concave)
Iteration 1:   log pseudolikelihood = -398.73101  
Iteration 2:   log pseudolikelihood = -386.87333  
Iteration 3:   log pseudolikelihood = -382.23828  
Iteration 4:   log pseudolikelihood = -381.87377  
Iteration 5:   log pseudolikelihood = -381.86988  
Iteration 6:   log pseudolikelihood = -381.86988  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =     131.56
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -381.86988               Pseudo R2         =     0.0872

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      mean_v_event |   2.453674   1.729439     1.42   0.156    -.9359648    5.843313
          hdi_2011 |   13.64439   2.870936     4.75   0.000     8.017458    19.27132
          mean_lxx |  -.0397545   .0883708    -0.45   0.653    -.2129581    .1334492
mean_v2x_polyarchy |   1.822924   1.654244     1.10   0.270    -1.419333    5.065182
  mean_minority_pc |   .0782298   .0237166     3.30   0.001     .0317462    .1247135
         mean_zpop |   1.01e-08   1.56e-08     0.65   0.518    -2.05e-08    4.07e-08
             _cons |  -9.384171   1.386129    -6.77   0.000    -12.10094   -6.667408
-------------------+----------------------------------------------------------------
          /lnalpha |   1.513033   .1465117                      1.225875     1.80019
-------------------+----------------------------------------------------------------
             alpha |    4.54048   .6652333                      3.407147    6.050799
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffpokalova_ mean_nv_event mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok
>  stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -16336.261  
Iteration 1:   log pseudolikelihood = -12794.804  
Iteration 2:   log pseudolikelihood =  -12250.88  
Iteration 3:   log pseudolikelihood = -12243.497  
Iteration 4:   log pseudolikelihood = -12243.495  
Iteration 5:   log pseudolikelihood = -12243.495  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.73255  (not concave)
Iteration 1:   log pseudolikelihood = -398.68585  
Iteration 2:   log pseudolikelihood =  -387.2716  
Iteration 3:   log pseudolikelihood = -382.18096  
Iteration 4:   log pseudolikelihood = -381.53272  
Iteration 5:   log pseudolikelihood = -381.51287  
Iteration 6:   log pseudolikelihood = -381.51286  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     132.10
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -381.51286               Pseudo R2         =     0.0881

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     mean_nv_event |   2.290895   3.070819     0.75   0.456      -3.7278     8.30959
      mean_v_event |   2.051021   2.082418     0.98   0.325    -2.030442    6.132485
          hdi_2011 |   13.41004   3.060966     4.38   0.000     7.410658    19.40942
          mean_lxx |  -.0025089   .1122983    -0.02   0.982    -.2226096    .2175918
mean_v2x_polyarchy |   1.444466   1.504823     0.96   0.337    -1.504933    4.393866
  mean_minority_pc |   .0705114   .0223074     3.16   0.002     .0267896    .1142332
         mean_zpop |   1.13e-08   1.63e-08     0.69   0.488    -2.06e-08    4.32e-08
             _cons |  -9.360675   1.334675    -7.01   0.000    -11.97659   -6.744759
-------------------+----------------------------------------------------------------
          /lnalpha |   1.509714   .1449823                      1.225554    1.793874
-------------------+----------------------------------------------------------------
             alpha |   4.525436   .6561083                      3.406052    6.012701
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
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. asdoc nbreg ffpokalova_ mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl mean_nv_event mean_v_event hdi_2011 mean_lxx
>  mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p) title(Table A3. Who Sends Foreign Fighters? Negativ
> e Binomial Regressions, Pokalova Estimates, Mean Values) keep(mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl mean_n
> v_event mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13162.357  
Iteration 1:   log pseudolikelihood = -8486.2698  
Iteration 2:   log pseudolikelihood = -7675.5084  
Iteration 3:   log pseudolikelihood = -7668.1414  
Iteration 4:   log pseudolikelihood = -7668.1345  
Iteration 5:   log pseudolikelihood = -7668.1345  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.14546  (not concave)
Iteration 1:   log pseudolikelihood = -391.22962  (not concave)
Iteration 2:   log pseudolikelihood = -381.58204  
Iteration 3:   log pseudolikelihood = -370.34807  
Iteration 4:   log pseudolikelihood = -369.11604  
Iteration 5:   log pseudolikelihood = -369.04661  
Iteration 6:   log pseudolikelihood = -369.04481  
Iteration 7:   log pseudolikelihood = -369.04481  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(12)     =     286.07
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -369.04481               Pseudo R2         =     0.1179

------------------------------------------------------------------------------------
                   |               Robust
       ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |   .0747032   .0516241     1.45   0.148    -.0264781    .1758845
    mean_wzsocdisx |   .0471176   .0544515     0.87   0.387    -.0596054    .1538406
       mean_org_01 |   2.227586   .7457071     2.99   0.003      .766027    3.689145
 mean_min_gov_excl |   1.610688   .5704082     2.82   0.005     .4927085    2.728667
 mean_min_gov_incl |   1.250184   .8176268     1.53   0.126    -.3523355    2.852703
     mean_nv_event |   1.459715   1.990293     0.73   0.463    -2.441187    5.360617
      mean_v_event |    1.36742   1.234298     1.11   0.268    -1.051759    3.786599
          hdi_2011 |   13.41629    3.09617     4.33   0.000     7.347906    19.48467
          mean_lxx |  -.1118605   .0926984    -1.21   0.228     -.293546     .069825
mean_v2x_polyarchy |   1.251584    1.32476     0.94   0.345    -1.344897    3.848066
  mean_minority_pc |   .0304846   .0229618     1.33   0.184    -.0145197    .0754888
         mean_zpop |   5.04e-09   1.23e-08     0.41   0.682    -1.90e-08    2.91e-08
             _cons |   -10.9732   1.831999    -5.99   0.000    -14.56385    -7.38255
-------------------+----------------------------------------------------------------
          /lnalpha |   1.248837   .1516667                      .9515758    1.546098
-------------------+----------------------------------------------------------------
             alpha |   3.486286   .5287536                      2.589787    4.693124
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. ******************************************

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. * Table A4. Soufan Estimates, Max Values *

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. ******************************************

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. asdoc nbreg ffsoufan_ max_mmxx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok setstars(***@0.001, **@
> 0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -12941.576  
Iteration 1:   log pseudolikelihood = -12592.014  
Iteration 2:   log pseudolikelihood = -12585.861  
Iteration 3:   log pseudolikelihood =  -12585.84  
Iteration 4:   log pseudolikelihood =  -12585.84  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.12049  (not concave)
Iteration 1:   log pseudolikelihood = -298.88593  
Iteration 2:   log pseudolikelihood = -293.09707  
Iteration 3:   log pseudolikelihood = -291.26785  
Iteration 4:   log pseudolikelihood = -291.20065  
Iteration 5:   log pseudolikelihood = -291.20059  
Iteration 6:   log pseudolikelihood = -291.20059  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      53.82
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -291.20059               Pseudo R2         =     0.0658

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |  -.0072753   .0724999    -0.10   0.920    -.1493724    .1348219
         hdi_2011 |   17.02948   5.849129     2.91   0.004     5.565402    28.49357
          max_lxx |    .126145   .1203589     1.05   0.295    -.1097541     .362044
max_v2x_polyarchy |   .2384314   3.740533     0.06   0.949    -7.092879    7.569742
  max_minority_pc |   .0955303   .0362404     2.64   0.008     .0245004    .1665603
         max_zpop |   1.22e-08   1.33e-08     0.92   0.357    -1.38e-08    3.83e-08
            _cons |  -12.56462   2.628706    -4.78   0.000    -17.71679   -7.412454
------------------+----------------------------------------------------------------
         /lnalpha |   2.245915   .1834687                      1.886323    2.605508
------------------+----------------------------------------------------------------
            alpha |   9.449062   1.733607                      6.595077    13.53809
-----------------------------------------------------------------------------------
  tzok
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. asdoc nbreg ffsoufan_ max_wzsocdisx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) ap
> pend

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -17747.502  
Iteration 1:   log pseudolikelihood = -13336.468  
Iteration 2:   log pseudolikelihood = -11754.686  
Iteration 3:   log pseudolikelihood = -11671.712  
Iteration 4:   log pseudolikelihood = -11671.476  
Iteration 5:   log pseudolikelihood = -11671.476  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.01864  (not concave)
Iteration 1:   log pseudolikelihood = -295.98087  
Iteration 2:   log pseudolikelihood = -289.12475  
Iteration 3:   log pseudolikelihood = -287.34879  
Iteration 4:   log pseudolikelihood = -287.27453  
Iteration 5:   log pseudolikelihood = -287.27433  
Iteration 6:   log pseudolikelihood = -287.27433  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      78.15
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -287.27433               Pseudo R2         =     0.0784

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
    max_wzsocdisx |   .3510118   .1183929     2.96   0.003     .1189661    .5830576
         hdi_2011 |   13.78876   4.811551     2.87   0.004     4.358296    23.21923
          max_lxx |   .0654649   .1138094     0.58   0.565    -.1575974    .2885271
max_v2x_polyarchy |  -1.766285   3.002104    -0.59   0.556    -7.650302    4.117731
  max_minority_pc |   .0770177   .0337893     2.28   0.023     .0107919    .1432435
         max_zpop |   4.24e-09   3.10e-09     1.37   0.171    -1.83e-09    1.03e-08
            _cons |  -9.358659   1.877727    -4.98   0.000    -13.03894   -5.678383
------------------+----------------------------------------------------------------
         /lnalpha |   2.116395   .1999554                       1.72449      2.5083
------------------+----------------------------------------------------------------
            alpha |   8.301157   1.659861                      5.609657    12.28403
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. 
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. asdoc nbreg ffsoufan_ max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested
>  dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10926.054  
Iteration 1:   log pseudolikelihood =  -10287.52  
Iteration 2:   log pseudolikelihood = -10276.075  
Iteration 3:   log pseudolikelihood = -10275.774  
Iteration 4:   log pseudolikelihood = -10275.773  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.79862  (not concave)
Iteration 1:   log pseudolikelihood = -295.28941  (not concave)
Iteration 2:   log pseudolikelihood = -292.10121  
Iteration 3:   log pseudolikelihood = -283.96423  
Iteration 4:   log pseudolikelihood = -281.09626  
Iteration 5:   log pseudolikelihood = -281.04404  
Iteration 6:   log pseudolikelihood = -281.04357  
Iteration 7:   log pseudolikelihood = -281.04357  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =     120.01
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -281.04357               Pseudo R2         =     0.0984

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
       max_org_01 |   1.821045    .930783     1.96   0.050    -.0032559    3.645346
 max_min_gov_excl |    2.76493   .7324581     3.77   0.000     1.329338    4.200521
 max_min_gov_incl |   2.065168   .6952803     2.97   0.003     .7024436    3.427892
         hdi_2011 |   18.83362   3.238881     5.81   0.000     12.48552    25.18171
          max_lxx |   .0976473     .07125     1.37   0.171        -.042    .2372947
max_v2x_polyarchy |   .3339341   2.059163     0.16   0.871     -3.70195    4.369818
  max_minority_pc |   .0542733   .0242703     2.24   0.025     .0067044    .1018422
         max_zpop |   3.57e-09   2.24e-09     1.59   0.112    -8.30e-10    7.97e-09
            _cons |  -16.57337    1.90161    -8.72   0.000    -20.30045   -12.84628
------------------+----------------------------------------------------------------
         /lnalpha |   1.942231   .1951524                      1.559739    2.324723
------------------+----------------------------------------------------------------
            alpha |   6.974292    1.36105                       4.75758    10.22384
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. 
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. asdoc nbreg ffsoufan_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc 
> max_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10167.221  
Iteration 1:   log pseudolikelihood = -7868.2039  
Iteration 2:   log pseudolikelihood = -7789.8955  
Iteration 3:   log pseudolikelihood = -7789.4152  
Iteration 4:   log pseudolikelihood = -7789.4147  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.48211  (not concave)
Iteration 1:   log pseudolikelihood = -294.76116  
Iteration 2:   log pseudolikelihood = -284.09425  
Iteration 3:   log pseudolikelihood =  -279.6448  
Iteration 4:   log pseudolikelihood = -279.24157  
Iteration 5:   log pseudolikelihood = -279.24034  
Iteration 6:   log pseudolikelihood = -279.24034  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(10)     =     135.83
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -279.24034               Pseudo R2         =     0.1042

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0053738   .0869554     0.06   0.951    -.1650557    .1758034
    max_wzsocdisx |   .1812588   .0954544     1.90   0.058    -.0058284     .368346
       max_org_01 |    .997332   .9480758     1.05   0.293    -.8608625    2.855526
 max_min_gov_excl |   2.776448   .8184357     3.39   0.001     1.172344    4.380553
 max_min_gov_incl |   2.183452   .8749365     2.50   0.013     .4686082    3.898296
         hdi_2011 |   16.14187   4.208958     3.84   0.000     7.892464    24.39128
          max_lxx |   .0400044   .1063845     0.38   0.707    -.1685053    .2485141
max_v2x_polyarchy |   .0540738     2.2962     0.02   0.981    -4.446395    4.554542
  max_minority_pc |   .0329727   .0335986     0.98   0.326    -.0328793    .0988248
         max_zpop |   3.51e-09   2.92e-09     1.20   0.230    -2.22e-09    9.23e-09
            _cons |  -13.82475   2.594198    -5.33   0.000    -18.90929   -8.740217
------------------+----------------------------------------------------------------
         /lnalpha |   1.883091   .1972384                       1.49651    2.269671
------------------+----------------------------------------------------------------
            alpha |   6.573791   1.296604                      4.466077    9.676215
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. 
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. asdoc nbreg ffsoufan_ max_nv_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) app
> end

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13266.971  
Iteration 1:   log pseudolikelihood = -13070.461  
Iteration 2:   log pseudolikelihood = -13068.707  
Iteration 3:   log pseudolikelihood = -13068.706  
Iteration 4:   log pseudolikelihood = -13068.706  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.29365  (not concave)
Iteration 1:   log pseudolikelihood = -299.97768  
Iteration 2:   log pseudolikelihood =   -292.296  
Iteration 3:   log pseudolikelihood = -289.33828  
Iteration 4:   log pseudolikelihood = -289.14144  
Iteration 5:   log pseudolikelihood = -289.14075  
Iteration 6:   log pseudolikelihood = -289.14075  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      43.68
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -289.14075               Pseudo R2         =     0.0724

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.802555   .6263891     2.88   0.004     .5748554    3.030256
         hdi_2011 |   17.68493   5.378233     3.29   0.001     7.143791    28.22608
          max_lxx |   .2032697   .1081928     1.88   0.060    -.0087842    .4153237
max_v2x_polyarchy |  -2.453688   3.202121    -0.77   0.444     -8.72973    3.822353
  max_minority_pc |   .0644811   .0382818     1.68   0.092      -.01055    .1395121
         max_zpop |   5.36e-09   9.33e-09     0.57   0.565    -1.29e-08    2.37e-08
            _cons |  -12.08306   2.731995    -4.42   0.000    -17.43768   -6.728452
------------------+----------------------------------------------------------------
         /lnalpha |   2.168994   .2033252                      1.770484    2.567504
------------------+----------------------------------------------------------------
            alpha |   8.749479   1.778989                      5.873696    13.03325
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffsoufan_ max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) appe
> nd

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -9377.7283  
Iteration 1:   log pseudolikelihood =  -9224.724  
Iteration 2:   log pseudolikelihood = -9223.9016  
Iteration 3:   log pseudolikelihood = -9223.9013  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.13671  (not concave)
Iteration 1:   log pseudolikelihood = -298.92676  
Iteration 2:   log pseudolikelihood =  -293.2712  
Iteration 3:   log pseudolikelihood =  -288.1618  
Iteration 4:   log pseudolikelihood = -287.74484  
Iteration 5:   log pseudolikelihood = -287.73313  
Iteration 6:   log pseudolikelihood = -287.73306  
Iteration 7:   log pseudolikelihood = -287.73306  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      50.64
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -287.73306               Pseudo R2         =     0.0769

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
      max_v_event |   1.997746   .5965276     3.35   0.001     .8285734    3.166919
         hdi_2011 |   15.00602   4.963162     3.02   0.002     5.278401    24.73364
          max_lxx |   .1550095   .1014108     1.53   0.126    -.0437521    .3537711
max_v2x_polyarchy |  -.3493901   2.897225    -0.12   0.904    -6.027846    5.329066
  max_minority_pc |   .0699107   .0255784     2.73   0.006     .0197779    .1200435
         max_zpop |   2.69e-09   1.70e-09     1.58   0.114    -6.44e-10    6.03e-09
            _cons |  -11.31166   2.408893    -4.70   0.000    -16.03301   -6.590321
------------------+----------------------------------------------------------------
         /lnalpha |   2.103257    .216547                      1.678833    2.527681
------------------+----------------------------------------------------------------
            alpha |    8.19281   1.774128                      5.359296    12.52443
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
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. asdoc nbreg ffsoufan_ max_nv_event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll
>  chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -9831.9797  
Iteration 1:   log pseudolikelihood = -9086.0862  
Iteration 2:   log pseudolikelihood = -9079.1932  
Iteration 3:   log pseudolikelihood = -9079.1845  
Iteration 4:   log pseudolikelihood = -9079.1845  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.00343  (not concave)
Iteration 1:   log pseudolikelihood =  -297.5526  
Iteration 2:   log pseudolikelihood = -292.14921  
Iteration 3:   log pseudolikelihood = -287.66472  
Iteration 4:   log pseudolikelihood = -287.33122  
Iteration 5:   log pseudolikelihood = -287.32509  
Iteration 6:   log pseudolikelihood = -287.32507  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =      50.95
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -287.32507               Pseudo R2         =     0.0782

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   .8204964    .572469     1.43   0.152    -.3015223    1.942515
      max_v_event |   1.643358   .6448529     2.55   0.011     .3794693    2.907246
         hdi_2011 |   15.62566   4.608106     3.39   0.001     6.593937    24.65738
          max_lxx |   .1669406   .0932385     1.79   0.073    -.0158036    .3496847
max_v2x_polyarchy |  -1.429452   2.734875    -0.52   0.601    -6.789709    3.930805
  max_minority_pc |   .0547238   .0286739     1.91   0.056     -.001476    .1109236
         max_zpop |   2.20e-09   1.57e-09     1.41   0.160    -8.70e-10    5.28e-09
            _cons |  -11.14733   2.440279    -4.57   0.000    -15.93018   -6.364467
------------------+----------------------------------------------------------------
         /lnalpha |   2.090203   .2212009                      1.656657    2.523749
------------------+----------------------------------------------------------------
            alpha |   8.086558   1.788754                      5.241761    12.47528
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffsoufan_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v2x_p
> olyarchy max_minority_pc max_zpop, robust nested dec(3) tzok stat(ll chi2 p) title(Table A4. Who Sends Foreign Fighters? Negative Binomial Re
> gressions, Soufan Estimates, Maximum Values) keep(max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_even
> t hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -8600.0603  
Iteration 1:   log pseudolikelihood = -6526.7459  
Iteration 2:   log pseudolikelihood = -6106.1049  
Iteration 3:   log pseudolikelihood = -6093.8306  
Iteration 4:   log pseudolikelihood = -6093.6588  
Iteration 5:   log pseudolikelihood = -6093.6587  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.57053  (not concave)
Iteration 1:   log pseudolikelihood = -294.82831  (not concave)
Iteration 2:   log pseudolikelihood = -286.49405  
Iteration 3:   log pseudolikelihood = -284.44124  
Iteration 4:   log pseudolikelihood = -276.95105  
Iteration 5:   log pseudolikelihood = -276.57169  
Iteration 6:   log pseudolikelihood = -276.56704  
Iteration 7:   log pseudolikelihood = -276.56703  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(12)     =     197.16
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -276.56703               Pseudo R2         =     0.1127

-----------------------------------------------------------------------------------
                  |               Robust
        ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0471943    .068461     0.69   0.491    -.0869868    .1813754
    max_wzsocdisx |   .0606054   .0763512     0.79   0.427    -.0890402    .2102511
       max_org_01 |   2.204568   .8424769     2.62   0.009     .5533437    3.855792
 max_min_gov_excl |   2.664362   .8291052     3.21   0.001     1.039345    4.289378
 max_min_gov_incl |   2.388591   .8476764     2.82   0.005     .7271762    4.050007
     max_nv_event |   1.754963   .6342648     2.77   0.006     .5118263    2.998099
      max_v_event |     .33933   .5629685     0.60   0.547     -.764068    1.442728
         hdi_2011 |   16.28204   3.722437     4.37   0.000     8.986192    23.57788
          max_lxx |   .0679966   .1118808     0.61   0.543    -.1512858    .2872791
max_v2x_polyarchy |  -.9412179   1.964956    -0.48   0.632    -4.792461    2.910026
  max_minority_pc |  -.0033831   .0267151    -0.13   0.899    -.0557436    .0489775
         max_zpop |   2.28e-09   2.67e-09     0.86   0.392    -2.95e-09    7.51e-09
            _cons |  -14.75959   2.599996    -5.68   0.000    -19.85548   -9.663688
------------------+----------------------------------------------------------------
         /lnalpha |   1.799525   .2097737                      1.388376    2.210674
------------------+----------------------------------------------------------------
            alpha |   6.046776   1.268455                      4.008337    9.121864
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. *******************************************

. 
. * Table A5. Soufan Estimates, Mean Values *

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. *******************************************

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. asdoc nbreg ffsoufan_ mean_mmxx hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok setstars(***@0.001
> , **@0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -12961.212  
Iteration 1:   log pseudolikelihood = -12591.698  
Iteration 2:   log pseudolikelihood = -12584.417  
Iteration 3:   log pseudolikelihood = -12584.393  
Iteration 4:   log pseudolikelihood = -12584.393  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.14091  (not concave)
Iteration 1:   log pseudolikelihood = -299.08003  
Iteration 2:   log pseudolikelihood = -293.91272  
Iteration 3:   log pseudolikelihood = -290.76432  
Iteration 4:   log pseudolikelihood = -290.61607  
Iteration 5:   log pseudolikelihood = -290.61583  
Iteration 6:   log pseudolikelihood = -290.61583  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      44.41
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -290.61583               Pseudo R2         =     0.0677

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |  -.0323709   .0621453    -0.52   0.602    -.1541734    .0894316
          hdi_2011 |   20.20944   4.636923     4.36   0.000     11.12123    29.29764
          mean_lxx |   .1136536   .1157643     0.98   0.326    -.1132401    .3405474
mean_v2x_polyarchy |  -1.945047   2.156481    -0.90   0.367    -6.171671    2.281577
  mean_minority_pc |   .0925285   .0364272     2.54   0.011     .0211326    .1639245
         mean_zpop |   1.11e-08   1.14e-08     0.97   0.332    -1.13e-08    3.34e-08
             _cons |  -13.30717   2.907461    -4.58   0.000    -19.00569   -7.608651
-------------------+----------------------------------------------------------------
          /lnalpha |   2.223113   .1902451                      1.850239    2.595986
-------------------+----------------------------------------------------------------
             alpha |   9.236037   1.757111                      6.361342    13.40981
------------------------------------------------------------------------------------
  tzok
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. asdoc nbreg ffsoufan_ mean_wzsocdisx hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 
> p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -18426.086  
Iteration 1:   log pseudolikelihood = -13538.865  
Iteration 2:   log pseudolikelihood = -11727.646  
Iteration 3:   log pseudolikelihood = -11619.609  
Iteration 4:   log pseudolikelihood = -11618.919  
Iteration 5:   log pseudolikelihood = -11618.919  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.01033  (not concave)
Iteration 1:   log pseudolikelihood = -295.73642  
Iteration 2:   log pseudolikelihood = -287.23207  
Iteration 3:   log pseudolikelihood = -285.34298  
Iteration 4:   log pseudolikelihood =  -285.2639  
Iteration 5:   log pseudolikelihood = -285.26357  
Iteration 6:   log pseudolikelihood = -285.26357  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      93.26
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -285.26357               Pseudo R2         =     0.0848

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    mean_wzsocdisx |   .4366983   .1168566     3.74   0.000     .2076635    .6657331
          hdi_2011 |   16.57563   3.646824     4.55   0.000     9.427987    23.72328
          mean_lxx |   .0336855   .0920009     0.37   0.714     -.146633     .214004
mean_v2x_polyarchy |  -3.788356   1.866056    -2.03   0.042    -7.445758   -.1309536
  mean_minority_pc |   .0744493   .0324476     2.29   0.022     .0108531    .1380454
         mean_zpop |   3.75e-09   2.77e-09     1.35   0.177    -1.69e-09    9.18e-09
             _cons |  -10.07017   1.921095    -5.24   0.000    -13.83544   -6.304887
-------------------+----------------------------------------------------------------
          /lnalpha |   2.056536   .1910843                      1.682018    2.431055
-------------------+----------------------------------------------------------------
             alpha |   7.818842   1.494058                      5.376395    11.37087
------------------------------------------------------------------------------------
  tzok
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. asdoc nbreg ffsoufan_ mean_org_01 mean_min_gov_excl mean_min_gov_incl hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust
>  nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11541.464  
Iteration 1:   log pseudolikelihood = -11208.715  
Iteration 2:   log pseudolikelihood = -11190.394  
Iteration 3:   log pseudolikelihood = -11189.626  
Iteration 4:   log pseudolikelihood = -11189.623  
Iteration 5:   log pseudolikelihood = -11189.623  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.76036  (not concave)
Iteration 1:   log pseudolikelihood = -295.23934  (not concave)
Iteration 2:   log pseudolikelihood =  -291.9794  
Iteration 3:   log pseudolikelihood =  -285.3207  
Iteration 4:   log pseudolikelihood = -282.46584  
Iteration 5:   log pseudolikelihood = -282.39852  
Iteration 6:   log pseudolikelihood = -282.39836  
Iteration 7:   log pseudolikelihood = -282.39836  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =      65.53
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -282.39836               Pseudo R2         =     0.0940

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       mean_org_01 |    2.07323   1.025154     2.02   0.043     .0639644    4.082495
 mean_min_gov_excl |   2.587345   .8774999     2.95   0.003     .8674769    4.307213
 mean_min_gov_incl |   2.200663   .8141836     2.70   0.007     .6048927    3.796434
          hdi_2011 |   18.92549   4.663135     4.06   0.000     9.785909    28.06506
          mean_lxx |   .0884605   .0725632     1.22   0.223    -.0537607    .2306818
mean_v2x_polyarchy |     -.2514   1.758033    -0.14   0.886    -3.697081    3.194281
  mean_minority_pc |   .0430428   .0242791     1.77   0.076    -.0045432    .0906289
         mean_zpop |   3.34e-09   2.37e-09     1.41   0.159    -1.31e-09    7.99e-09
             _cons |  -16.02856   3.135788    -5.11   0.000    -22.17459   -9.882526
-------------------+----------------------------------------------------------------
          /lnalpha |   1.946245   .2130341                      1.528706    2.363784
-------------------+----------------------------------------------------------------
             alpha |   7.002342   1.491737                      4.612203     10.6311
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffsoufan_ mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl hdi_2011 mean_lxx mean_v2x_polyarchy mean_mino
> rity_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood =  -15292.58  
Iteration 1:   log pseudolikelihood = -10791.317  
Iteration 2:   log pseudolikelihood = -9189.1693  
Iteration 3:   log pseudolikelihood = -9085.0416  
Iteration 4:   log pseudolikelihood = -9084.2939  
Iteration 5:   log pseudolikelihood = -9084.2939  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.48529  (not concave)
Iteration 1:   log pseudolikelihood = -294.73131  
Iteration 2:   log pseudolikelihood = -282.82773  
Iteration 3:   log pseudolikelihood = -279.41757  
Iteration 4:   log pseudolikelihood = -279.09555  
Iteration 5:   log pseudolikelihood = -279.09396  
Iteration 6:   log pseudolikelihood = -279.09396  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(10)     =     120.25
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -279.09396               Pseudo R2         =     0.1046

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |   .0062349   .0704836     0.09   0.930    -.1319105    .1443802
    mean_wzsocdisx |   .2681618   .0996473     2.69   0.007     .0728567    .4634669
       mean_org_01 |   .9971971   .9480954     1.05   0.293    -.8610358     2.85543
 mean_min_gov_excl |    2.62705   .7399485     3.55   0.000     1.176778    4.077323
 mean_min_gov_incl |   2.187144   .8068758     2.71   0.007      .605697    3.768592
          hdi_2011 |   16.11017   4.340578     3.71   0.000     7.602789    24.61754
          mean_lxx |   .0046262   .0945341     0.05   0.961    -.1806573    .1899096
mean_v2x_polyarchy |  -1.205131   1.823109    -0.66   0.509    -4.778359    2.368098
  mean_minority_pc |   .0232112   .0349708     0.66   0.507    -.0453303    .0917526
         mean_zpop |   2.71e-09   2.12e-09     1.27   0.203    -1.46e-09    6.87e-09
             _cons |   -12.5191    3.04412    -4.11   0.000    -18.48546    -6.55273
-------------------+----------------------------------------------------------------
          /lnalpha |   1.842507   .2026911                      1.445239    2.239774
-------------------+----------------------------------------------------------------
             alpha |   6.312341   1.279455                      4.242867    9.391207
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffsoufan_ mean_nv_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p
> ) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13729.043  
Iteration 1:   log pseudolikelihood = -13388.099  
Iteration 2:   log pseudolikelihood = -13387.524  
Iteration 3:   log pseudolikelihood = -13387.524  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.38393  (not concave)
Iteration 1:   log pseudolikelihood = -300.65816  
Iteration 2:   log pseudolikelihood = -291.25723  
Iteration 3:   log pseudolikelihood = -287.56833  
Iteration 4:   log pseudolikelihood = -287.24731  
Iteration 5:   log pseudolikelihood = -287.24578  
Iteration 6:   log pseudolikelihood = -287.24578  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      44.90
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -287.24578               Pseudo R2         =     0.0785

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     mean_nv_event |   7.593304   2.269681     3.35   0.001     3.144812     12.0418
          hdi_2011 |   18.19794   4.847866     3.75   0.000     8.696295    27.69958
          mean_lxx |   .2384716   .0925777     2.58   0.010     .0570227    .4199205
mean_v2x_polyarchy |  -3.469913   1.990997    -1.74   0.081    -7.372196      .43237
  mean_minority_pc |   .0728329   .0337147     2.16   0.031     .0067532    .1389126
         mean_zpop |   6.54e-09   8.11e-09     0.81   0.420    -9.36e-09    2.24e-08
             _cons |   -12.4513   2.937566    -4.24   0.000    -18.20883   -6.693781
-------------------+----------------------------------------------------------------
          /lnalpha |   2.103186   .1967284                      1.717605    2.488766
-------------------+----------------------------------------------------------------
             alpha |   8.192225   1.611643                      5.571169     12.0464
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffsoufan_ mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p)
>  append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13924.249  
Iteration 1:   log pseudolikelihood =  -10945.97  
Iteration 2:   log pseudolikelihood = -10375.041  
Iteration 3:   log pseudolikelihood = -10367.933  
Iteration 4:   log pseudolikelihood =  -10367.93  
Iteration 5:   log pseudolikelihood =  -10367.93  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.12137  (not concave)
Iteration 1:   log pseudolikelihood = -299.01373  (not concave)
Iteration 2:   log pseudolikelihood = -296.99215  (not concave)
Iteration 3:   log pseudolikelihood = -295.89054  (not concave)
Iteration 4:   log pseudolikelihood = -291.52712  
Iteration 5:   log pseudolikelihood = -287.75347  
Iteration 6:   log pseudolikelihood = -285.04936  
Iteration 7:   log pseudolikelihood = -284.90415  
Iteration 8:   log pseudolikelihood = -284.90372  
Iteration 9:   log pseudolikelihood = -284.90372  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(6)      =      59.52
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -284.90372               Pseudo R2         =     0.0860

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      mean_v_event |   3.616534   .7143913     5.06   0.000     2.216352    5.016715
          hdi_2011 |   18.80837   4.881373     3.85   0.000     9.241052    28.37568
          mean_lxx |   .0888531   .0709323     1.25   0.210    -.0501717    .2278778
mean_v2x_polyarchy |  -2.640791   1.910959    -1.38   0.167    -6.386202    1.104621
  mean_minority_pc |   .0679399   .0228773     2.97   0.003     .0231012    .1127787
         mean_zpop |   2.11e-09   8.90e-10     2.37   0.018     3.69e-10    3.86e-09
             _cons |  -12.25664   3.008921    -4.07   0.000    -18.15401    -6.35926
-------------------+----------------------------------------------------------------
          /lnalpha |    1.99389   .2221767                      1.558431    2.429348
-------------------+----------------------------------------------------------------
             alpha |   7.344045   1.631676                      4.751362    11.35148
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

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. asdoc nbreg ffsoufan_ mean_nv_event mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok s
> tat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -13571.964  
Iteration 1:   log pseudolikelihood = -10644.262  
Iteration 2:   log pseudolikelihood = -10168.165  
Iteration 3:   log pseudolikelihood = -10163.664  
Iteration 4:   log pseudolikelihood = -10163.662  
Iteration 5:   log pseudolikelihood = -10163.662  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -306.22816  (not concave)
Iteration 1:   log pseudolikelihood = -299.12997  (not concave)
Iteration 2:   log pseudolikelihood = -296.84537  (not concave)
Iteration 3:   log pseudolikelihood = -295.69366  (not concave)
Iteration 4:   log pseudolikelihood = -294.25535  (not concave)
Iteration 5:   log pseudolikelihood = -292.64822  
Iteration 6:   log pseudolikelihood =  -285.1177  
Iteration 7:   log pseudolikelihood = -284.46784  
Iteration 8:   log pseudolikelihood = -284.45899  
Iteration 9:   log pseudolikelihood = -284.45898  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =      66.63
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -284.45898               Pseudo R2         =     0.0874

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
     mean_nv_event |   2.885359    1.92045     1.50   0.133    -.8786537    6.649372
      mean_v_event |   3.053623   .7617118     4.01   0.000     1.560695     4.54655
          hdi_2011 |   18.11936   4.798892     3.78   0.000     8.713706    27.52502
          mean_lxx |   .1332141   .0771343     1.73   0.084    -.0179663    .2843945
mean_v2x_polyarchy |  -2.960953   1.831868    -1.62   0.106    -6.551348    .6294411
  mean_minority_pc |    .060395    .024784     2.44   0.015     .0118193    .1089708
         mean_zpop |   2.02e-09   9.56e-10     2.11   0.034     1.48e-10    3.90e-09
             _cons |  -11.96222   2.960108    -4.04   0.000    -17.76393   -6.160514
-------------------+----------------------------------------------------------------
          /lnalpha |   1.984342   .2184991                      1.556091    2.412592
-------------------+----------------------------------------------------------------
             alpha |   7.274258   1.589419                      4.740257    11.16286
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
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. asdoc nbreg ffsoufan_ mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl mean_nv_event mean_v_event hdi_2011 mean_lxx m
> ean_v2x_polyarchy mean_minority_pc mean_zpop, robust nested dec(3) tzok stat(ll chi2 p) title(Table A5. Who Sends Foreign Fighters? Negative 
> Binomial Regressions, Soufan Estimates, Mean Values) keep(mean_mmxx mean_wzsocdisx mean_org_01 mean_min_gov_excl mean_min_gov_incl mean_nv_ev
> ent mean_v_event hdi_2011 mean_lxx mean_v2x_polyarchy mean_minority_pc mean_zpop _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -11109.663  
Iteration 1:   log pseudolikelihood = -6884.2637  
Iteration 2:   log pseudolikelihood = -5867.8022  
Iteration 3:   log pseudolikelihood = -5856.0814  
Iteration 4:   log pseudolikelihood =  -5856.038  
Iteration 5:   log pseudolikelihood =  -5856.038  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -649.02563  
Iteration 1:   log pseudolikelihood = -316.28084  
Iteration 2:   log pseudolikelihood = -312.11973  
Iteration 3:   log pseudolikelihood = -311.70696  
Iteration 4:   log pseudolikelihood = -311.70565  
Iteration 5:   log pseudolikelihood = -311.70565  

Fitting full model:

Iteration 0:   log pseudolikelihood = -305.51406  (not concave)
Iteration 1:   log pseudolikelihood = -294.76915  (not concave)
Iteration 2:   log pseudolikelihood = -285.95625  
Iteration 3:   log pseudolikelihood = -278.11141  
Iteration 4:   log pseudolikelihood = -277.26247  
Iteration 5:   log pseudolikelihood = -277.22377  
Iteration 6:   log pseudolikelihood = -277.22359  
Iteration 7:   log pseudolikelihood = -277.22359  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(12)     =     161.46
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -277.22359               Pseudo R2         =     0.1106

------------------------------------------------------------------------------------
                   |               Robust
         ffsoufan_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
         mean_mmxx |   .0388946   .0601119     0.65   0.518    -.0789226    .1567118
    mean_wzsocdisx |   .1403279   .0849399     1.65   0.099    -.0261512    .3068069
       mean_org_01 |   1.299516   .9041195     1.44   0.151    -.4725261    3.071557
 mean_min_gov_excl |   2.141103   .6677942     3.21   0.001     .8322505    3.449956
 mean_min_gov_incl |   2.215153   .8751748     2.53   0.011      .499842    3.930464
     mean_nv_event |    3.24487   2.124965     1.53   0.127    -.9199861    7.409725
      mean_v_event |   1.418836    .895188     1.58   0.113    -.3357003    3.173372
          hdi_2011 |   15.97347   4.420138     3.61   0.000     7.310162    24.63678
          mean_lxx |   .0173179   .0983588     0.18   0.860    -.1754619    .2100976
mean_v2x_polyarchy |  -1.657961   1.708581    -0.97   0.332    -5.006718    1.690795
  mean_minority_pc |  -.0011916   .0325848    -0.04   0.971    -.0650566    .0626735
         mean_zpop |   1.58e-09   1.51e-09     1.05   0.296    -1.38e-09    4.54e-09
             _cons |  -12.52241   3.205245    -3.91   0.000    -18.80457   -6.240242
-------------------+----------------------------------------------------------------
          /lnalpha |   1.761197   .2167088                      1.336455    2.185938
-------------------+----------------------------------------------------------------
             alpha |   5.819398   1.261115                       3.80553    8.898995
------------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. ***************************************************************

. 
. * Table A6. Pokalova Estimates, Max Values, distance to Syria *

. 
. ***************************************************************

. 
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. 
. asdoc nbreg ffpokalova_ max_mmxx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested dec(3) tzok sets
> tars(***@0.001, **@0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15189.816  
Iteration 1:   log pseudolikelihood = -14942.459  
Iteration 2:   log pseudolikelihood = -14939.166  
Iteration 3:   log pseudolikelihood = -14939.161  
Iteration 4:   log pseudolikelihood = -14939.161  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.39786  (not concave)
Iteration 1:   log pseudolikelihood = -396.30782  
Iteration 2:   log pseudolikelihood = -389.39998  
Iteration 3:   log pseudolikelihood = -383.54716  
Iteration 4:   log pseudolikelihood = -383.15066  
Iteration 5:   log pseudolikelihood =  -383.1498  
Iteration 6:   log pseudolikelihood =  -383.1498  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     190.33
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -383.1498               Pseudo R2         =     0.0842

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   -.019323   .0413697    -0.47   0.640    -.1004062    .0617602
         hdi_2011 |   13.44242   2.555634     5.26   0.000      8.43347    18.45137
          max_lxx |   -.008576    .067102    -0.13   0.898    -.1400935    .1229414
max_v2x_polyarchy |   2.162749   1.803018     1.20   0.230    -1.371102      5.6966
  max_minority_pc |   .0767021   .0195297     3.93   0.000     .0384245    .1149797
         max_zpop |   2.02e-08   1.01e-08     2.00   0.045     4.50e-10    4.00e-08
 zdistancetosyria |  -.0001393   .0000717    -1.94   0.052    -.0002798    1.11e-06
            _cons |  -8.872166   1.445578    -6.14   0.000    -11.70545   -6.038885
------------------+----------------------------------------------------------------
         /lnalpha |   1.557961   .1668247                      1.230991    1.884932
------------------+----------------------------------------------------------------
            alpha |   4.749129    .792272                      3.424621    6.585904
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
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. asdoc nbreg ffpokalova_ max_wzsocdisx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested dec(3) tzok
>  stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15006.544  
Iteration 1:   log pseudolikelihood = -13558.253  
Iteration 2:   log pseudolikelihood = -13544.036  
Iteration 3:   log pseudolikelihood = -13544.024  
Iteration 4:   log pseudolikelihood = -13544.024  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.12653  (not concave)
Iteration 1:   log pseudolikelihood = -395.03413  
Iteration 2:   log pseudolikelihood = -384.64819  
Iteration 3:   log pseudolikelihood = -382.22725  
Iteration 4:   log pseudolikelihood = -381.80353  
Iteration 5:   log pseudolikelihood =  -381.7993  
Iteration 6:   log pseudolikelihood =  -381.7993  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     277.19
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -381.7993               Pseudo R2         =     0.0874

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
    max_wzsocdisx |   .1137581   .0726982     1.56   0.118    -.0287278     .256244
         hdi_2011 |   12.26808   2.442577     5.02   0.000     7.480713    17.05544
          max_lxx |  -.0404462   .0650424    -0.62   0.534     -.167927    .0870346
max_v2x_polyarchy |   1.772019   1.764473     1.00   0.315    -1.686284    5.230322
  max_minority_pc |   .0617967   .0219179     2.82   0.005     .0188384     .104755
         max_zpop |   1.78e-08   1.09e-08     1.64   0.102    -3.53e-09    3.91e-08
 zdistancetosyria |  -.0000882   .0000784    -1.13   0.261    -.0002418    .0000654
            _cons |  -8.092208   1.703543    -4.75   0.000    -11.43109   -4.753326
------------------+----------------------------------------------------------------
         /lnalpha |   1.523556   .1702234                      1.189924    1.857188
------------------+----------------------------------------------------------------
            alpha |   4.588513    .781072                      3.286832    6.405696
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetos
> yria, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood =   -12438.3  
Iteration 1:   log pseudolikelihood = -11637.852  
Iteration 2:   log pseudolikelihood = -11624.077  
Iteration 3:   log pseudolikelihood = -11623.805  
Iteration 4:   log pseudolikelihood = -11623.805  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.63486  (not concave)
Iteration 1:   log pseudolikelihood = -392.91333  
Iteration 2:   log pseudolikelihood = -375.84692  
Iteration 3:   log pseudolikelihood = -373.16697  
Iteration 4:   log pseudolikelihood = -372.97852  
Iteration 5:   log pseudolikelihood = -372.97764  
Iteration 6:   log pseudolikelihood = -372.97764  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(9)      =     222.51
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -372.97764               Pseudo R2         =     0.1085

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
       max_org_01 |   1.815877   .8496877     2.14   0.033     .1505194    3.481234
 max_min_gov_excl |   1.548474    .736294     2.10   0.035     .1053641    2.991583
 max_min_gov_incl |   1.269007   .5438444     2.33   0.020      .203092    2.334923
         hdi_2011 |   16.07584   2.304658     6.98   0.000     11.55879    20.59288
          max_lxx |  -.0604051   .0605774    -1.00   0.319    -.1791347    .0583244
max_v2x_polyarchy |   .3515051   1.669342     0.21   0.833    -2.920345    3.623355
  max_minority_pc |   .0550866   .0181124     3.04   0.002     .0195869    .0905862
         max_zpop |   1.22e-08   1.41e-08     0.87   0.386    -1.54e-08    3.99e-08
 zdistancetosyria |  -.0000503   .0000852    -0.59   0.555    -.0002172    .0001166
            _cons |  -11.94686   1.370821    -8.72   0.000    -14.63362   -9.260101
------------------+----------------------------------------------------------------
         /lnalpha |   1.350077   .1407604                      1.074192    1.625962
------------------+----------------------------------------------------------------
            alpha |   3.857723   .5430147                      2.927626    5.083309
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_p
> c max_zpop zdistancetosyria, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10446.954  
Iteration 1:   log pseudolikelihood = -9346.9678  
Iteration 2:   log pseudolikelihood = -9325.9582  
Iteration 3:   log pseudolikelihood = -9325.7123  
Iteration 4:   log pseudolikelihood = -9325.7118  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood =  -407.3723  (not concave)
Iteration 1:   log pseudolikelihood = -391.98481  (not concave)
Iteration 2:   log pseudolikelihood = -385.77487  
Iteration 3:   log pseudolikelihood =  -373.5704  
Iteration 4:   log pseudolikelihood = -371.10377  
Iteration 5:   log pseudolikelihood = -371.02473  
Iteration 6:   log pseudolikelihood = -371.02451  
Iteration 7:   log pseudolikelihood = -371.02451  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(11)     =     272.76
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -371.02451               Pseudo R2         =     0.1132

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0694043   .0822841     0.84   0.399    -.0918696    .2306783
    max_wzsocdisx |   .0992232   .0509725     1.95   0.052     -.000681    .1991274
       max_org_01 |   1.928973   1.031596     1.87   0.061    -.0929185    3.950864
 max_min_gov_excl |   1.683823   .7930639     2.12   0.034     .1294462      3.2382
 max_min_gov_incl |   1.154008   .6408905     1.80   0.072     -.102114    2.410131
         hdi_2011 |   13.18122    2.66839     4.94   0.000     7.951274    18.41117
          max_lxx |  -.0960204   .0641312    -1.50   0.134    -.2217153    .0296745
max_v2x_polyarchy |   1.096896    1.31868     0.83   0.406     -1.48767    3.681461
  max_minority_pc |    .040915   .0186658     2.19   0.028     .0043306    .0774993
         max_zpop |   9.73e-09   1.54e-08     0.63   0.527    -2.04e-08    3.99e-08
 zdistancetosyria |   .0000173   .0001183     0.15   0.884    -.0002146    .0002492
            _cons |  -10.96031   1.687663    -6.49   0.000    -14.26806   -7.652546
------------------+----------------------------------------------------------------
         /lnalpha |    1.29863   .1473089                       1.00991    1.587351
------------------+----------------------------------------------------------------
            alpha |   3.664275   .5397802                      2.745355    4.890774
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested dec(3) tzok 
> stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood =  -15042.94  
Iteration 1:   log pseudolikelihood = -14880.502  
Iteration 2:   log pseudolikelihood = -14879.394  
Iteration 3:   log pseudolikelihood = -14879.393  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.38646  (not concave)
Iteration 1:   log pseudolikelihood = -396.10725  
Iteration 2:   log pseudolikelihood = -386.27152  
Iteration 3:   log pseudolikelihood = -381.01004  
Iteration 4:   log pseudolikelihood = -380.74187  
Iteration 5:   log pseudolikelihood = -380.74099  
Iteration 6:   log pseudolikelihood = -380.74099  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     182.92
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -380.74099               Pseudo R2         =     0.0899

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.216629   .4869054     2.50   0.012     .2623116    2.170946
         hdi_2011 |   13.59937   2.802796     4.85   0.000     8.105991    19.09275
          max_lxx |   .0409643   .0686806     0.60   0.551    -.0936471    .1755758
max_v2x_polyarchy |   1.056691   1.912196     0.55   0.581    -2.691144    4.804527
  max_minority_pc |   .0626218   .0221624     2.83   0.005     .0191843    .1060593
         max_zpop |   1.76e-08   1.02e-08     1.73   0.084    -2.38e-09    3.75e-08
 zdistancetosyria |  -.0000894   .0000778    -1.15   0.251    -.0002419    .0000632
            _cons |  -9.225111   1.597747    -5.77   0.000    -12.35664   -6.093584
------------------+----------------------------------------------------------------
         /lnalpha |   1.507082   .1678378                      1.178126    1.836038
------------------+----------------------------------------------------------------
            alpha |   4.513541   .7575429                      3.248281    6.271642
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested dec(3) tzok s
> tat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10970.263  
Iteration 1:   log pseudolikelihood = -10875.285  
Iteration 2:   log pseudolikelihood = -10875.211  
Iteration 3:   log pseudolikelihood = -10875.211  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -409.11979  (not concave)
Iteration 1:   log pseudolikelihood = -398.96236  
Iteration 2:   log pseudolikelihood = -387.22306  
Iteration 3:   log pseudolikelihood = -383.15702  
Iteration 4:   log pseudolikelihood = -382.19975  
Iteration 5:   log pseudolikelihood = -382.16308  
Iteration 6:   log pseudolikelihood = -382.16299  
Iteration 7:   log pseudolikelihood = -382.16299  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     164.76
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -382.16299               Pseudo R2         =     0.0865

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
      max_v_event |   .8114765   .6840555     1.19   0.236    -.5292476    2.152201
         hdi_2011 |   13.00681   2.629093     4.95   0.000     7.853881    18.15974
          max_lxx |  -.0426244   .0741326    -0.57   0.565    -.1879218    .1026729
max_v2x_polyarchy |   2.153084   1.777615     1.21   0.226    -1.330977    5.637145
  max_minority_pc |   .0723365   .0226175     3.20   0.001     .0280069    .1166661
         max_zpop |   1.62e-08   1.26e-08     1.29   0.198    -8.45e-09    4.08e-08
 zdistancetosyria |  -.0001075   .0000775    -1.39   0.165    -.0002593    .0000443
            _cons |  -8.640632   1.607064    -5.38   0.000    -11.79042   -5.490843
------------------+----------------------------------------------------------------
         /lnalpha |   1.525122   .1581604                      1.215134    1.835111
------------------+----------------------------------------------------------------
            alpha |   4.595706   .7268585                      3.370745     6.26583
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested 
> dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10948.881  
Iteration 1:   log pseudolikelihood = -10722.816  
Iteration 2:   log pseudolikelihood = -10721.619  
Iteration 3:   log pseudolikelihood = -10721.619  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.97684  (not concave)
Iteration 1:   log pseudolikelihood = -397.64271  
Iteration 2:   log pseudolikelihood = -393.56184  
Iteration 3:   log pseudolikelihood = -381.53622  
Iteration 4:   log pseudolikelihood = -380.02627  
Iteration 5:   log pseudolikelihood = -379.99455  
Iteration 6:   log pseudolikelihood =  -379.9945  
Iteration 7:   log pseudolikelihood =  -379.9945  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =     152.63
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -379.9945               Pseudo R2         =     0.0917

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.153495   .5076355     2.27   0.023     .1585476    2.148442
      max_v_event |   .7262159   .6643052     1.09   0.274    -.5757984     2.02823
         hdi_2011 |    13.7027   3.213344     4.26   0.000     7.404667    20.00074
          max_lxx |     .01362   .0782721     0.17   0.862    -.1397906    .1670305
max_v2x_polyarchy |   .8671707   2.154967     0.40   0.687    -3.356487    5.090829
  max_minority_pc |   .0546075   .0251526     2.17   0.030     .0053093    .1039057
         max_zpop |   1.45e-08   1.26e-08     1.15   0.248    -1.01e-08    3.91e-08
 zdistancetosyria |  -.0000639   .0000875    -0.73   0.465    -.0002355    .0001077
            _cons |  -9.168215   1.652497    -5.55   0.000    -12.40705    -5.92938
------------------+----------------------------------------------------------------
         /lnalpha |   1.481846   .1606423                      1.166993    1.796699
------------------+----------------------------------------------------------------
            alpha |   4.401062   .7069966                      3.212318    6.029711
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v2x
> _polyarchy max_minority_pc max_zpop zdistancetosyria, robust nested dec(3) tzok stat(ll chi2 p) title(Table 1. Who Sends Foreign Fighters? Ne
> gative Binomial Regressions, Pokalova Estimates, Max Values) keep(max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_
> event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetosyria _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10270.548  
Iteration 1:   log pseudolikelihood = -8289.8478  
Iteration 2:   log pseudolikelihood = -7827.9853  
Iteration 3:   log pseudolikelihood = -7814.5055  
Iteration 4:   log pseudolikelihood = -7814.3635  
Iteration 5:   log pseudolikelihood = -7814.3634  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.18668  (not concave)
Iteration 1:   log pseudolikelihood = -392.84677  (not concave)
Iteration 2:   log pseudolikelihood = -386.51419  
Iteration 3:   log pseudolikelihood = -370.31656  
Iteration 4:   log pseudolikelihood = -368.02213  
Iteration 5:   log pseudolikelihood =  -367.9106  
Iteration 6:   log pseudolikelihood = -367.91025  
Iteration 7:   log pseudolikelihood = -367.91025  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(13)     =     327.27
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -367.91025               Pseudo R2         =     0.1206

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0968831    .079597     1.22   0.224    -.0591241    .2528904
    max_wzsocdisx |    .020686   .0525278     0.39   0.694    -.0822667    .1236386
       max_org_01 |   2.516684     1.0454     2.41   0.016     .4677376    4.565631
 max_min_gov_excl |    1.61705    .620852     2.60   0.009      .400202    2.833897
 max_min_gov_incl |   1.126073   .6584031     1.71   0.087     -.164373     2.41652
     max_nv_event |   1.240647   .4530864     2.74   0.006     .3526143     2.12868
      max_v_event |   .1774464    .450028     0.39   0.693    -.7045923    1.059485
         hdi_2011 |   14.19156   2.792628     5.08   0.000     8.718109    19.66501
          max_lxx |  -.0702771   .0696951    -1.01   0.313     -.206877    .0663229
max_v2x_polyarchy |    .230747   1.550503     0.15   0.882    -2.808183    3.269677
  max_minority_pc |   .0300062   .0204473     1.47   0.142    -.0100698    .0700822
         max_zpop |   8.02e-09   1.50e-08     0.53   0.594    -2.15e-08    3.75e-08
 zdistancetosyria |   .0000344   .0001171     0.29   0.769    -.0001951    .0002638
            _cons |  -12.09674   1.904932    -6.35   0.000    -15.83034   -8.363141
------------------+----------------------------------------------------------------
         /lnalpha |   1.240081   .1540596                      .9381301    1.542033
------------------+----------------------------------------------------------------
            alpha |   3.455895   .5324139                      2.555199    4.674082
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. **************************************************************

. 
. * Table A7. Pokalova Estimates, Max Values, distance to Iraq *

. 
. **************************************************************

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested dec(3) tzok setst
> ars(***@0.001, **@0.01, *@0.05) fs(10) font(CMU Serif) stat(ll chi2 p) reset
(File Myfile.doc already exists, option append was assumed)

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15189.052  
Iteration 1:   log pseudolikelihood = -14944.452  
Iteration 2:   log pseudolikelihood = -14941.305  
Iteration 3:   log pseudolikelihood = -14941.301  
Iteration 4:   log pseudolikelihood = -14941.301  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood =  -408.3752  (not concave)
Iteration 1:   log pseudolikelihood =   -396.218  
Iteration 2:   log pseudolikelihood = -390.18599  
Iteration 3:   log pseudolikelihood = -383.27031  
Iteration 4:   log pseudolikelihood = -382.83484  
Iteration 5:   log pseudolikelihood =  -382.8338  
Iteration 6:   log pseudolikelihood =  -382.8338  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     197.30
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -382.8338               Pseudo R2         =     0.0849

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |  -.0235356   .0423116    -0.56   0.578    -.1064648    .0593936
         hdi_2011 |    13.6864     2.5824     5.30   0.000     8.624995    18.74782
          max_lxx |  -.0151843   .0681275    -0.22   0.824    -.1487117    .1183431
max_v2x_polyarchy |   2.195637   1.816091     1.21   0.227    -1.363835    5.755109
  max_minority_pc |   .0773481    .019572     3.95   0.000     .0389877    .1157086
         max_zpop |   1.99e-08   1.00e-08     1.98   0.047     2.50e-10    3.95e-08
  zdistancetoiraq |  -.0001534   .0000789    -1.94   0.052    -.0003079    1.22e-06
            _cons |  -8.874287   1.448901    -6.12   0.000    -11.71408   -6.034494
------------------+----------------------------------------------------------------
         /lnalpha |   1.552772   .1663423                      1.226747    1.878796
------------------+----------------------------------------------------------------
            alpha |   4.724547   .7858918                      3.410118    6.545622
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_wzsocdisx hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested dec(3) tzok 
> stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -15085.299  
Iteration 1:   log pseudolikelihood = -13525.391  
Iteration 2:   log pseudolikelihood = -13507.935  
Iteration 3:   log pseudolikelihood = -13507.914  
Iteration 4:   log pseudolikelihood = -13507.914  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.10323  (not concave)
Iteration 1:   log pseudolikelihood = -395.07549  
Iteration 2:   log pseudolikelihood = -384.48857  
Iteration 3:   log pseudolikelihood = -382.01747  
Iteration 4:   log pseudolikelihood = -381.64899  
Iteration 5:   log pseudolikelihood = -381.64627  
Iteration 6:   log pseudolikelihood = -381.64627  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     282.26
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -381.64627               Pseudo R2         =     0.0878

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
    max_wzsocdisx |   .1075245   .0685274     1.57   0.117    -.0267868    .2418357
         hdi_2011 |   12.41856   2.409113     5.15   0.000     7.696789    17.14034
          max_lxx |  -.0448763    .066792    -0.67   0.502    -.1757863    .0860337
max_v2x_polyarchy |   1.861091   1.760891     1.06   0.291    -1.590192    5.312374
  max_minority_pc |    .062306   .0219873     2.83   0.005     .0192117    .1054004
         max_zpop |   1.77e-08   1.07e-08     1.65   0.098    -3.28e-09    3.87e-08
  zdistancetoiraq |  -.0000981    .000081    -1.21   0.225    -.0002568    .0000605
            _cons |  -8.121255   1.698435    -4.78   0.000    -11.45013   -4.792385
------------------+----------------------------------------------------------------
         /lnalpha |   1.521106   .1705795                      1.186777    1.855436
------------------+----------------------------------------------------------------
            alpha |   4.577286   .7807912                      3.276502    6.394485
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoi
> raq, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -12478.585  
Iteration 1:   log pseudolikelihood = -11672.094  
Iteration 2:   log pseudolikelihood = -11658.325  
Iteration 3:   log pseudolikelihood = -11658.054  
Iteration 4:   log pseudolikelihood = -11658.054  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.67497  (not concave)
Iteration 1:   log pseudolikelihood = -392.98051  
Iteration 2:   log pseudolikelihood = -376.49499  
Iteration 3:   log pseudolikelihood = -373.14815  
Iteration 4:   log pseudolikelihood = -372.96452  
Iteration 5:   log pseudolikelihood = -372.96373  
Iteration 6:   log pseudolikelihood = -372.96373  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(9)      =     222.59
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -372.96373               Pseudo R2         =     0.1085

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
       max_org_01 |    1.80659   .8592509     2.10   0.036     .1224896    3.490691
 max_min_gov_excl |   1.528028   .7489512     2.04   0.041     .0601102    2.995945
 max_min_gov_incl |    1.26669   .5437548     2.33   0.020     .2009498    2.332429
         hdi_2011 |    16.1386   2.257842     7.15   0.000     11.71331    20.56388
          max_lxx |  -.0615394   .0610146    -1.01   0.313    -.1811257     .058047
max_v2x_polyarchy |   .3793762   1.698036     0.22   0.823    -2.948713    3.707465
  max_minority_pc |   .0557189   .0180022     3.10   0.002     .0204351    .0910026
         max_zpop |   1.23e-08   1.41e-08     0.87   0.385    -1.54e-08    3.99e-08
  zdistancetoiraq |  -.0000514   .0000863    -0.60   0.552    -.0002205    .0001178
            _cons |  -11.97515   1.348776    -8.88   0.000     -14.6187   -9.331598
------------------+----------------------------------------------------------------
         /lnalpha |   1.350208   .1408296                      1.074187    1.626229
------------------+----------------------------------------------------------------
            alpha |   3.858227   .5433524                      2.927611    5.084662
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl hdi_2011 max_lxx max_v2x_polyarchy max_minority_p
> c max_zpop zdistancetoiraq, robust nested dec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10659.856  
Iteration 1:   log pseudolikelihood =  -9387.619  
Iteration 2:   log pseudolikelihood = -9360.1526  
Iteration 3:   log pseudolikelihood = -9359.8708  
Iteration 4:   log pseudolikelihood = -9359.8707  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -407.43337  (not concave)
Iteration 1:   log pseudolikelihood = -392.09524  (not concave)
Iteration 2:   log pseudolikelihood = -385.93063  
Iteration 3:   log pseudolikelihood = -374.18292  
Iteration 4:   log pseudolikelihood = -371.12263  
Iteration 5:   log pseudolikelihood =  -371.0213  
Iteration 6:   log pseudolikelihood =  -371.0212  
Iteration 7:   log pseudolikelihood =  -371.0212  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(11)     =     272.34
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood =  -371.0212               Pseudo R2         =     0.1132

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0698777   .0824298     0.85   0.397    -.0916818    .2314372
    max_wzsocdisx |   .0997447   .0516997     1.93   0.054    -.0015848    .2010741
       max_org_01 |   1.933867   1.035951     1.87   0.062    -.0965602    3.964293
 max_min_gov_excl |   1.691056   .8146498     2.08   0.038      .094372    3.287741
 max_min_gov_incl |   1.154359   .6382389     1.81   0.071    -.0965664    2.405284
         hdi_2011 |   13.14411   2.727056     4.82   0.000     7.799182    18.48905
          max_lxx |  -.0956576   .0638892    -1.50   0.134    -.2208782     .029563
max_v2x_polyarchy |   1.090493   1.322303     0.82   0.410    -1.501173    3.682158
  max_minority_pc |   .0406791   .0186771     2.18   0.029     .0040727    .0772856
         max_zpop |   9.69e-09   1.54e-08     0.63   0.528    -2.04e-08    3.98e-08
  zdistancetoiraq |   .0000184   .0001182     0.16   0.877    -.0002133      .00025
            _cons |   -10.9498   1.664087    -6.58   0.000    -14.21135   -7.688247
------------------+----------------------------------------------------------------
         /lnalpha |   1.298335   .1472477                      1.009735    1.586935
------------------+----------------------------------------------------------------
            alpha |   3.663192   .5393965                      2.744873    4.888742
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested dec(3) tzok s
> tat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -14999.842  
Iteration 1:   log pseudolikelihood = -14835.389  
Iteration 2:   log pseudolikelihood = -14834.377  
Iteration 3:   log pseudolikelihood = -14834.376  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.36545  (not concave)
Iteration 1:   log pseudolikelihood = -396.22387  
Iteration 2:   log pseudolikelihood = -388.28149  
Iteration 3:   log pseudolikelihood =  -381.1217  
Iteration 4:   log pseudolikelihood = -380.69533  
Iteration 5:   log pseudolikelihood = -380.69361  
Iteration 6:   log pseudolikelihood = -380.69361  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     185.35
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -380.69361               Pseudo R2         =     0.0901

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.173513   .4796397     2.45   0.014     .2334364    2.113589
         hdi_2011 |   13.70296   2.765448     4.96   0.000     8.282787    19.12314
          max_lxx |   .0349398   .0706664     0.49   0.621    -.1035639    .1734434
max_v2x_polyarchy |   1.141721   1.909448     0.60   0.550    -2.600729    4.884171
  max_minority_pc |   .0638538   .0216687     2.95   0.003      .021384    .1063237
         max_zpop |   1.75e-08   1.02e-08     1.73   0.084    -2.38e-09    3.74e-08
  zdistancetoiraq |  -.0000924   .0000819    -1.13   0.260    -.0002529    .0000682
            _cons |  -9.260049   1.588461    -5.83   0.000    -12.37337   -6.146723
------------------+----------------------------------------------------------------
         /lnalpha |   1.506492   .1681432                      1.176937    1.836046
------------------+----------------------------------------------------------------
            alpha |   4.510877   .7584731                      3.244422    6.271692
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested dec(3) tzok st
> at(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10946.019  
Iteration 1:   log pseudolikelihood = -10848.822  
Iteration 2:   log pseudolikelihood = -10848.752  
Iteration 3:   log pseudolikelihood = -10848.752  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -409.17125  (not concave)
Iteration 1:   log pseudolikelihood =   -399.249  
Iteration 2:   log pseudolikelihood = -387.22079  
Iteration 3:   log pseudolikelihood = -383.00006  
Iteration 4:   log pseudolikelihood =  -382.0352  
Iteration 5:   log pseudolikelihood = -381.99765  
Iteration 6:   log pseudolikelihood = -381.99755  
Iteration 7:   log pseudolikelihood = -381.99755  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(7)      =     167.31
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -381.99755               Pseudo R2         =     0.0869

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
      max_v_event |   .7711276   .6865932     1.12   0.261    -.5745703    2.116826
         hdi_2011 |   13.17968   2.586969     5.09   0.000     8.109316    18.25005
          max_lxx |  -.0472575   .0755643    -0.63   0.532    -.1953609    .1008459
max_v2x_polyarchy |   2.209053   1.791502     1.23   0.218    -1.302227    5.720333
  max_minority_pc |   .0734711   .0225281     3.26   0.001     .0293169    .1176253
         max_zpop |   1.61e-08   1.25e-08     1.29   0.196    -8.33e-09    4.06e-08
  zdistancetoiraq |  -.0001144   .0000812    -1.41   0.159    -.0002735    .0000447
            _cons |  -8.689451   1.580986    -5.50   0.000    -11.78813   -5.590776
------------------+----------------------------------------------------------------
         /lnalpha |     1.5227   .1581431                      1.212745    1.832655
------------------+----------------------------------------------------------------
            alpha |   4.584588    .725021                      3.362704     6.25046
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_nv_event max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested d
> ec(3) tzok stat(ll chi2 p) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10923.022  
Iteration 1:   log pseudolikelihood = -10696.361  
Iteration 2:   log pseudolikelihood = -10695.237  
Iteration 3:   log pseudolikelihood = -10695.237  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -409.06131  (not concave)
Iteration 1:   log pseudolikelihood = -397.93654  
Iteration 2:   log pseudolikelihood = -385.40049  
Iteration 3:   log pseudolikelihood = -381.16904  
Iteration 4:   log pseudolikelihood = -380.01678  
Iteration 5:   log pseudolikelihood =   -379.975  
Iteration 6:   log pseudolikelihood = -379.97491  
Iteration 7:   log pseudolikelihood = -379.97491  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(8)      =     153.66
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -379.97491               Pseudo R2         =     0.0918

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
     max_nv_event |   1.130268   .5047994     2.24   0.025     .1408795    2.119657
      max_v_event |   .7172105   .6711497     1.07   0.285    -.5982187     2.03264
         hdi_2011 |   13.78566   3.147364     4.38   0.000     7.616937    19.95438
          max_lxx |    .010281   .0791572     0.13   0.897    -.1448642    .1654263
max_v2x_polyarchy |   .9180038   2.174313     0.42   0.673    -3.343571    5.179578
  max_minority_pc |   .0557828   .0250184     2.23   0.026     .0067476     .104818
         max_zpop |   1.45e-08   1.26e-08     1.15   0.248    -1.01e-08    3.91e-08
  zdistancetoiraq |   -.000065   .0000901    -0.72   0.470    -.0002415    .0001115
            _cons |  -9.208809   1.624688    -5.67   0.000    -12.39314   -6.024479
------------------+----------------------------------------------------------------
         /lnalpha |   1.481779   .1607203                      1.166773    1.796785
------------------+----------------------------------------------------------------
            alpha |   4.400767   .7072925                      3.211612    6.030228
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. 
. 
. 
. asdoc nbreg ffpokalova_ max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_event max_v_event hdi_2011 max_lxx max_v2x
> _polyarchy max_minority_pc max_zpop zdistancetoiraq, robust nested dec(3) tzok stat(ll chi2 p) title(Table 1. Who Sends Foreign Fighters? Neg
> ative Binomial Regressions, Pokalova Estimates, Max Values) keep(max_mmxx max_wzsocdisx max_org_01 max_min_gov_excl max_min_gov_incl max_nv_e
> vent max_v_event hdi_2011 max_lxx max_v2x_polyarchy max_minority_pc max_zpop zdistancetoiraq _cons) append

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -10455.748  
Iteration 1:   log pseudolikelihood = -8390.0031  
Iteration 2:   log pseudolikelihood = -7862.8913  
Iteration 3:   log pseudolikelihood = -7848.7175  
Iteration 4:   log pseudolikelihood = -7848.5706  
Iteration 5:   log pseudolikelihood = -7848.5705  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood =  -675.4916  
Iteration 1:   log pseudolikelihood = -419.35826  
Iteration 2:   log pseudolikelihood =  -418.3713  
Iteration 3:   log pseudolikelihood = -418.36929  
Iteration 4:   log pseudolikelihood = -418.36929  

Fitting full model:

Iteration 0:   log pseudolikelihood = -408.32854  (not concave)
Iteration 1:   log pseudolikelihood = -393.04809  (not concave)
Iteration 2:   log pseudolikelihood = -386.78063  
Iteration 3:   log pseudolikelihood = -370.98361  
Iteration 4:   log pseudolikelihood = -368.01499  
Iteration 5:   log pseudolikelihood = -367.86047  
Iteration 6:   log pseudolikelihood = -367.85994  
Iteration 7:   log pseudolikelihood = -367.85994  

Negative binomial regression                    Number of obs     =        122
                                                Wald chi2(13)     =     323.74
Dispersion           = mean                     Prob > chi2       =     0.0000
Log pseudolikelihood = -367.85994               Pseudo R2         =     0.1207

-----------------------------------------------------------------------------------
                  |               Robust
      ffpokalova_ |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
         max_mmxx |   .0999366   .0793558     1.26   0.208    -.0555979    .2554711
    max_wzsocdisx |   .0211025   .0525485     0.40   0.688    -.0818907    .1240957
       max_org_01 |   2.543048   1.051309     2.42   0.016     .4825204    4.603576
 max_min_gov_excl |   1.632132   .6273848     2.60   0.009     .4024806    2.861784
 max_min_gov_incl |   1.124712   .6486814     1.73   0.083    -.1466799    2.396105
     max_nv_event |   1.250492    .453254     2.76   0.006     .3621305    2.138854
      max_v_event |   .1872106   .4491704     0.42   0.677    -.6931472    1.067568
         hdi_2011 |   14.12531   2.791761     5.06   0.000     8.653554    19.59706
          max_lxx |  -.0680418   .0691701    -0.98   0.325    -.2036127    .0675292
max_v2x_polyarchy |    .201689   1.565795     0.13   0.898    -2.867214    3.270592
  max_minority_pc |   .0295152   .0207947     1.42   0.156    -.0112416    .0702721
         max_zpop |   7.77e-09   1.49e-08     0.52   0.603    -2.15e-08    3.70e-08
  zdistancetoiraq |   .0000417    .000115     0.36   0.717    -.0001836    .0002671
            _cons |  -12.13526   1.863374    -6.51   0.000     -15.7874   -8.483109
------------------+----------------------------------------------------------------
         /lnalpha |   1.238105    .153963                      .9363433    1.539867
------------------+----------------------------------------------------------------
            alpha |   3.449072   .5310296                      2.550637    4.663971
-----------------------------------------------------------------------------------
  tzok
Click to Open File:  Myfile.doc

. log close
      name:  <unnamed>
       log:  Mobilizing for Jihad - TPV (2023)\Dataverse-files\mobilizing-for-jihad-2023-TVP.log
  log type:  text
 closed on:  18 May 2023, 21:24:13
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